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DEMOS, EXAMPLESBLOG
Implementing Convolution Neural Networks and Recurrent Neural Networks by Nicholas Leonard. Torch Video Tutorials. Covers the basics ( Lua, Torch ’s Tensor and image package) and intruduces the concepts of neural networks, forward and backward propagation (both by-hand using Tensor s and with the nn package). More topics will be added soon. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and in TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT. TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | TUTORIALS FOR LEARNING TORCHDEVELOPER DOCUMENTATIONTUTORIALS,DEMOS, EXAMPLESBLOG
Implementing Convolution Neural Networks and Recurrent Neural Networks by Nicholas Leonard. Torch Video Tutorials. Covers the basics ( Lua, Torch ’s Tensor and image package) and intruduces the concepts of neural networks, forward and backward propagation (both by-hand using Tensor s and with the nn package). More topics will be added soon. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and in TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT.TORCH | NEED HELP?
Need help? Torch is largely community-maintained, but we are very friendly and helpful.. Google Groups. Many developers and users answer your questions on the mailing list Installation issues can be reported here. GitHub issues. The GitHub issues page is a good place to find answers, and report issues for the core Torch package. Each package has it’s own issue tracker, for example: nn issuesTORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset. TORCH3: THE DREAM COMES TRUE Features. A lot of things in gradient machines, that is, machines which could be learned with a gradient descent. This includes multi-layered perceptrons, radial basis functions, mixtures of experts, convolutional networks and even time-delay neural networks.In fact a lot of "modules" are available that you can plug as you want toget what you need.
TORCH | PACKAGE DOCUMENTATION Package Documentation. The links to the documentation for the core packages are listed here. For other community packages, go to the github link of the package, and you will usually find documentation in their respective README files. torch - doc. nn - doc.TABLE OF CONTENTS
Torch Reference Manual http://www.torch.ch Table of Contents General stuff. List; Text outputs functions. Namespaces. Givens matrix operations routines. Householder TORCH | DEEP FUN WITH OPENCV AND TORCH Deep Fun with OpenCV and Torch. June 1, 2016 by Egor Burkov The OpenCV library implements tons of useful image processing and computer vision algorithms, as well as the high-level GUI API. Written in C++, it has bindings in Python, Java, MATLAB/Octave, C#, Perl and Ruby. We present the Lua bindings that are based on Torch, made by VisionLabs.. By combining OpenCV with scientific TORCH | LANGUAGE MODELING A BILLION WORDS Each column is a vector containing potentially multiple sequences, i.e. a multi-sequence. Independent sequences are seperated by zeros. In the next section, we will see how the rnn package can use these zero-masked time-steps to efficiently forget its hidden state between independent sequences (at the granularity of columns). For now, notice how the original sequences are contained in the TORCH | RECURRENT MODEL OF VISUAL ATTENTION Recurrent Model of Visual Attention. September 21, 2015 by Nicholas Leonard In this blog post, I want to discuss how we at Element-Research implemented the recurrent attention model (RAM) described in .Not only were we able to reproduce the paper, but we also made of bunch of modular code available in the process. CLASS SPATIALCONVOLUTION Public Fields int k_w Kernel size (height and width) int d_x 'x' translation in the input image after each application of the kernel int d_y 'y' translation in the input image after each application of the kernel int n_input_planes Number of input images int n_output_planes Number of output images int input_height Height ofeach input image
TODE USER MANUAL
TODE User Manual Darren C. Moore Dalle Molle Institute for Perceptual Artificial Intelligence (IDIAP) CP 592, rue du Simplon 4, 1920, Martigny, Switzerland, TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | TUTORIALS FOR LEARNING TORCH Torch is a scientific computing framework for LuaJIT. TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT. TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and in TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix TORCH | TRAINING AND INVESTIGATING RESIDUAL NETS Training and investigating Residual Nets. February 4, 2016 by Sam Gross and Michael Wilber The post was co-authored by Sam Gross from Facebook AI Research and Michael Wilber from CornellTech.. In this blog post we implement Deep Residual Networks (ResNets) and investigate ResNets from a model-selection and optimizationperspective.
TORCH | DEEP FUN WITH OPENCV AND TORCH Deep Fun with OpenCV and Torch. June 1, 2016 by Egor Burkov The OpenCV library implements tons of useful image processing and computer vision algorithms, as well as the high-level GUI API. Written in C++, it has bindings in Python, Java, MATLAB/Octave, C#, Perl and Ruby. We present the Lua bindings that are based on Torch, made by VisionLabs.. By combining OpenCV with scientific TORCH | LANGUAGE MODELING A BILLION WORDS Each column is a vector containing potentially multiple sequences, i.e. a multi-sequence. Independent sequences are seperated by zeros. In the next section, we will see how the rnn package can use these zero-masked time-steps to efficiently forget its hidden state between independent sequences (at the granularity of columns). For now, notice how the original sequences are contained in theCLASS MSECRITERION
Inherited from Object:. Public Fields Allocator* allocator. Public Methods void addOption(const char* name, int size, void* ptr, const char* help="") void addIOption(const char* name, int* ptr, int init_value, const char* help="") void addROption(const char* name, real* ptr, real init_value, const char* help="") void addBOption(const char* name, bool* ptr, bool init_value, const char* help="") TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | TUTORIALS FOR LEARNING TORCH Torch is a scientific computing framework for LuaJIT. TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT. TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and in TORCH | FIVE SIMPLE EXAMPLES If you cut-and-paste this in the command line, the first print will be a 5x5 matrix (because the local A is defined for the duration of the scope doend), but will be nil afterwards.. Defining a closure with an upvalue. We need to define a closure which returns both J(x) and dJ(x).Here we define a scope with doend, such that the local variable neval is an upvalue to JdJ(x): only JdJ(x TORCH | TRAINING AND INVESTIGATING RESIDUAL NETS Training and investigating Residual Nets. February 4, 2016 by Sam Gross and Michael Wilber The post was co-authored by Sam Gross from Facebook AI Research and Michael Wilber from CornellTech.. In this blog post we implement Deep Residual Networks (ResNets) and investigate ResNets from a model-selection and optimizationperspective.
TORCH | DEEP FUN WITH OPENCV AND TORCH Deep Fun with OpenCV and Torch. June 1, 2016 by Egor Burkov The OpenCV library implements tons of useful image processing and computer vision algorithms, as well as the high-level GUI API. Written in C++, it has bindings in Python, Java, MATLAB/Octave, C#, Perl and Ruby. We present the Lua bindings that are based on Torch, made by VisionLabs.. By combining OpenCV with scientific TORCH | LANGUAGE MODELING A BILLION WORDS Each column is a vector containing potentially multiple sequences, i.e. a multi-sequence. Independent sequences are seperated by zeros. In the next section, we will see how the rnn package can use these zero-masked time-steps to efficiently forget its hidden state between independent sequences (at the granularity of columns). For now, notice how the original sequences are contained in theCLASS MSECRITERION
Inherited from Object:. Public Fields Allocator* allocator. Public Methods void addOption(const char* name, int size, void* ptr, const char* help="") void addIOption(const char* name, int* ptr, int init_value, const char* help="") void addROption(const char* name, real* ptr, real init_value, const char* help="") void addBOption(const char* name, bool* ptr, bool init_value, const char* help="")TORCH | NEED HELP?
Need help? Torch is largely community-maintained, but we are very friendly and helpful.. Google Groups. Many developers and users answer your questions on the mailing list Installation issues can be reported here. GitHub issues. The GitHub issues page is a good place to find answers, and report issues for the core Torch package. Each package has it’s own issue tracker, for example: nn issuesTORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset. TORCH3: THE DREAM COMES TRUE Features. A lot of things in gradient machines, that is, machines which could be learned with a gradient descent. This includes multi-layered perceptrons, radial basis functions, mixtures of experts, convolutional networks and even time-delay neural networks.In fact a lot of "modules" are available that you can plug as you want toget what you need.
TORCH | PACKAGE DOCUMENTATION Torch is a scientific computing framework for LuaJIT.TABLE OF CONTENTS
Torch Reference Manual http://www.torch.ch Table of Contents General stuff. List; Text outputs functions. Namespaces. Givens matrix operations routines. Householder TORCH | LANGUAGE MODELING A BILLION WORDS Each column is a vector containing potentially multiple sequences, i.e. a multi-sequence. Independent sequences are seperated by zeros. In the next section, we will see how the rnn package can use these zero-masked time-steps to efficiently forget its hidden state between independent sequences (at the granularity of columns). For now, notice how the original sequences are contained in the TORCH | DEEP FUN WITH OPENCV AND TORCH Deep Fun with OpenCV and Torch. June 1, 2016 by Egor Burkov The OpenCV library implements tons of useful image processing and computer vision algorithms, as well as the high-level GUI API. Written in C++, it has bindings in Python, Java, MATLAB/Octave, C#, Perl and Ruby. We present the Lua bindings that are based on Torch, made by VisionLabs.. By combining OpenCV with scientific TORCH | RECURRENT MODEL OF VISUAL ATTENTION You will end up with the following (unrolled) glimpse : While the input is a 3x512x512 image (786432 scalars), the output is very small : 9x64x64 (36864 scalars), or about 5% the size of the original image. Since the glimse here has a depth=3 (i.e. it uses 3 patches), each successive patch is scale times the size of the prevous one. So we end up with a high-resolution patch of a small area CLASS SPATIALCONVOLUTION Public Fields int k_w Kernel size (height and width) int d_x 'x' translation in the input image after each application of the kernel int d_y 'y' translation in the input image after each application of the kernel int n_input_planes Number of input images int n_output_planes Number of output images int input_height Height ofeach input image
TODE USER MANUAL
Chapter 1 Introduction TODE (TOrch DEcoder) is a continuous speech recogniser based on a time-synchronous beam-search algorithm that is compatible with the Torch ma- TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | TUTORIALS FOR LEARNING TORCH Torch is a scientific computing framework for LuaJIT. TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT. TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and in TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix TORCH | TRAINING AND INVESTIGATING RESIDUAL NETS Training and investigating Residual Nets. February 4, 2016 by Sam Gross and Michael Wilber The post was co-authored by Sam Gross from Facebook AI Research and Michael Wilber from CornellTech.. In this blog post we implement Deep Residual Networks (ResNets) and investigate ResNets from a model-selection and optimizationperspective.
TORCH | DEEP FUN WITH OPENCV AND TORCH Deep Fun with OpenCV and Torch. June 1, 2016 by Egor Burkov The OpenCV library implements tons of useful image processing and computer vision algorithms, as well as the high-level GUI API. Written in C++, it has bindings in Python, Java, MATLAB/Octave, C#, Perl and Ruby. We present the Lua bindings that are based on Torch, made by VisionLabs.. By combining OpenCV with scientific TORCH | LANGUAGE MODELING A BILLION WORDS Each column is a vector containing potentially multiple sequences, i.e. a multi-sequence. Independent sequences are seperated by zeros. In the next section, we will see how the rnn package can use these zero-masked time-steps to efficiently forget its hidden state between independent sequences (at the granularity of columns). For now, notice how the original sequences are contained in theCLASS MSECRITERION
Inherited from Object:. Public Fields Allocator* allocator. Public Methods void addOption(const char* name, int size, void* ptr, const char* help="") void addIOption(const char* name, int* ptr, int init_value, const char* help="") void addROption(const char* name, real* ptr, real init_value, const char* help="") void addBOption(const char* name, bool* ptr, bool init_value, const char* help="") TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | TUTORIALS FOR LEARNING TORCH Torch is a scientific computing framework for LuaJIT. TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT. TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and in TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix TORCH | TRAINING AND INVESTIGATING RESIDUAL NETS Training and investigating Residual Nets. February 4, 2016 by Sam Gross and Michael Wilber The post was co-authored by Sam Gross from Facebook AI Research and Michael Wilber from CornellTech.. In this blog post we implement Deep Residual Networks (ResNets) and investigate ResNets from a model-selection and optimizationperspective.
TORCH | DEEP FUN WITH OPENCV AND TORCH Deep Fun with OpenCV and Torch. June 1, 2016 by Egor Burkov The OpenCV library implements tons of useful image processing and computer vision algorithms, as well as the high-level GUI API. Written in C++, it has bindings in Python, Java, MATLAB/Octave, C#, Perl and Ruby. We present the Lua bindings that are based on Torch, made by VisionLabs.. By combining OpenCV with scientific TORCH | LANGUAGE MODELING A BILLION WORDS Each column is a vector containing potentially multiple sequences, i.e. a multi-sequence. Independent sequences are seperated by zeros. In the next section, we will see how the rnn package can use these zero-masked time-steps to efficiently forget its hidden state between independent sequences (at the granularity of columns). For now, notice how the original sequences are contained in theCLASS MSECRITERION
Inherited from Object:. Public Fields Allocator* allocator. Public Methods void addOption(const char* name, int size, void* ptr, const char* help="") void addIOption(const char* name, int* ptr, int init_value, const char* help="") void addROption(const char* name, real* ptr, real init_value, const char* help="") void addBOption(const char* name, bool* ptr, bool init_value, const char* help="")TORCH | NEED HELP?
Need help? Torch is largely community-maintained, but we are very friendly and helpful.. Google Groups. Many developers and users answer your questions on the mailing list Installation issues can be reported here. GitHub issues. The GitHub issues page is a good place to find answers, and report issues for the core Torch package. Each package has it’s own issue tracker, for example: nn issuesTORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset. TORCH3: THE DREAM COMES TRUE Features. A lot of things in gradient machines, that is, machines which could be learned with a gradient descent. This includes multi-layered perceptrons, radial basis functions, mixtures of experts, convolutional networks and even time-delay neural networks.In fact a lot of "modules" are available that you can plug as you want toget what you need.
TORCH | PACKAGE DOCUMENTATION Torch is a scientific computing framework for LuaJIT.TABLE OF CONTENTS
Torch Reference Manual http://www.torch.ch Table of Contents General stuff. List; Text outputs functions. Namespaces. Givens matrix operations routines. Householder TORCH | LANGUAGE MODELING A BILLION WORDS Each column is a vector containing potentially multiple sequences, i.e. a multi-sequence. Independent sequences are seperated by zeros. In the next section, we will see how the rnn package can use these zero-masked time-steps to efficiently forget its hidden state between independent sequences (at the granularity of columns). For now, notice how the original sequences are contained in the TORCH | DEEP FUN WITH OPENCV AND TORCH Deep Fun with OpenCV and Torch. June 1, 2016 by Egor Burkov The OpenCV library implements tons of useful image processing and computer vision algorithms, as well as the high-level GUI API. Written in C++, it has bindings in Python, Java, MATLAB/Octave, C#, Perl and Ruby. We present the Lua bindings that are based on Torch, made by VisionLabs.. By combining OpenCV with scientific TORCH | RECURRENT MODEL OF VISUAL ATTENTION You will end up with the following (unrolled) glimpse : While the input is a 3x512x512 image (786432 scalars), the output is very small : 9x64x64 (36864 scalars), or about 5% the size of the original image. Since the glimse here has a depth=3 (i.e. it uses 3 patches), each successive patch is scale times the size of the prevous one. So we end up with a high-resolution patch of a small area CLASS SPATIALCONVOLUTION Public Fields int k_w Kernel size (height and width) int d_x 'x' translation in the input image after each application of the kernel int d_y 'y' translation in the input image after each application of the kernel int n_input_planes Number of input images int n_output_planes Number of output images int input_height Height ofeach input image
TODE USER MANUAL
Chapter 1 Introduction TODE (TOrch DEcoder) is a continuous speech recogniser based on a time-synchronous beam-search algorithm that is compatible with the Torch ma- TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | TUTORIALS FOR LEARNING TORCHDEVELOPER DOCUMENTATIONTUTORIALS,DEMOS, EXAMPLESBLOG
Torch is a scientific computing framework for LuaJIT. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT. TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and inTORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset.TORCH | NEED HELP?
Need help? Torch is largely community-maintained, but we are very friendly and helpful.. Google Groups. Many developers and users answer your questions on the mailing list Installation issues can be reported here. GitHub issues. The GitHub issues page is a good place to find answers, and report issues for the core Torch package. Each package has it’s own issue tracker, for example: nn issues TORCH | TUTORIALS, DEMOS, EXAMPLES Quick Start. Getting started with Torch Five simple examples Documentation. Tutorials, Demos, Examples Package Documentation TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix CLASS SPATIALCONVOLUTION Public Fields int k_w Kernel size (height and width) int d_x 'x' translation in the input image after each application of the kernel int d_y 'y' translation in the input image after each application of the kernel int n_input_planes Number of input images int n_output_planes Number of output images int input_height Height ofeach input image
TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | TUTORIALS FOR LEARNING TORCHDEVELOPER DOCUMENTATIONTUTORIALS,DEMOS, EXAMPLESBLOG
Torch is a scientific computing framework for LuaJIT. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT. TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and inTORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset.TORCH | NEED HELP?
Need help? Torch is largely community-maintained, but we are very friendly and helpful.. Google Groups. Many developers and users answer your questions on the mailing list Installation issues can be reported here. GitHub issues. The GitHub issues page is a good place to find answers, and report issues for the core Torch package. Each package has it’s own issue tracker, for example: nn issues TORCH | TUTORIALS, DEMOS, EXAMPLES Quick Start. Getting started with Torch Five simple examples Documentation. Tutorials, Demos, Examples Package Documentation TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix CLASS SPATIALCONVOLUTION Public Fields int k_w Kernel size (height and width) int d_x 'x' translation in the input image after each application of the kernel int d_y 'y' translation in the input image after each application of the kernel int n_input_planes Number of input images int n_output_planes Number of output images int input_height Height ofeach input image
TORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset. TORCH | FIVE SIMPLE EXAMPLES If you cut-and-paste this in the command line, the first print will be a 5x5 matrix (because the local A is defined for the duration of the scope doend), but will be nil afterwards.. Defining a closure with an upvalue. We need to define a closure which returns both J(x) and dJ(x).Here we define a scope with doend, such that the local variable neval is an upvalue to JdJ(x): only JdJ(x TORCH3: THE DREAM COMES TRUE Features. A lot of things in gradient machines, that is, machines which could be learned with a gradient descent. This includes multi-layered perceptrons, radial basis functions, mixtures of experts, convolutional networks and even time-delay neural networks.In fact a lot of "modules" are available that you can plug as you want toget what you need.
TORCH | PACKAGE DOCUMENTATION Torch is a scientific computing framework for LuaJIT.TABLE OF CONTENTS
Torch Reference Manual http://www.torch.ch Table of Contents General stuff. List; Text outputs functions. Namespaces. Givens matrix operations routines. HouseholderTORCH TUTORIAL
CHAPTER 1Introduction Torch is a machine learning library, written in C++, which is under a BSD license. When I say“C++”, it’s in fact C with just the concept of classes found in C++. There-fore, to use Torch, you just need to know C and the bases of C++. With the power of C++ classes Torch has a modular design, and with the power of C1 thecore of Torch
TORCH | DEEP FUN WITH OPENCV AND TORCH Deep Fun with OpenCV and Torch. June 1, 2016 by Egor Burkov The OpenCV library implements tons of useful image processing and computer vision algorithms, as well as the high-level GUI API. Written in C++, it has bindings in Python, Java, MATLAB/Octave, C#, Perl and Ruby. We present the Lua bindings that are based on Torch, made by VisionLabs.. By combining OpenCV with scientific TORCH | TRAINING AND INVESTIGATING RESIDUAL NETS Training and investigating Residual Nets. February 4, 2016 by Sam Gross and Michael Wilber The post was co-authored by Sam Gross from Facebook AI Research and Michael Wilber from CornellTech.. In this blog post we implement Deep Residual Networks (ResNets) and investigate ResNets from a model-selection and optimizationperspective.
TORCH | RECURRENT MODEL OF VISUAL ATTENTION You will end up with the following (unrolled) glimpse : While the input is a 3x512x512 image (786432 scalars), the output is very small : 9x64x64 (36864 scalars), or about 5% the size of the original image. Since the glimse here has a depth=3 (i.e. it uses 3 patches), each successive patch is scale times the size of the prevous one. So we end up with a high-resolution patch of a small areaCLASS KFOLD
Public Fields int** train_subsets Training examples for each fold int** test_subsets Test examples for each fold int* n_train_subsets Number of training examples for each fold int* n_test_subsets Number of test examples for each fold TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | TUTORIALS FOR LEARNING TORCHDEVELOPER DOCUMENTATIONTUTORIALS,DEMOS, EXAMPLESBLOG
Implementing Convolution Neural Networks and Recurrent Neural Networks by Nicholas Leonard. Torch Video Tutorials. Covers the basics ( Lua, Torch ’s Tensor and image package) and intruduces the concepts of neural networks, forward and backward propagation (both by-hand using Tensor s and with the nn package). More topics will be added soon. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT. TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and inTORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset.TORCH | NEED HELP?
Need help? Torch is largely community-maintained, but we are very friendly and helpful.. Google Groups. Many developers and users answer your questions on the mailing list Installation issues can be reported here. GitHub issues. The GitHub issues page is a good place to find answers, and report issues for the core Torch package. Each package has it’s own issue tracker, for example: nn issues TORCH | TUTORIALS, DEMOS, EXAMPLES Quick Start. Getting started with Torch Five simple examples Documentation. Tutorials, Demos, Examples Package Documentation TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix CLASS SPATIALCONVOLUTION Public Fields int k_w Kernel size (height and width) int d_x 'x' translation in the input image after each application of the kernel int d_y 'y' translation in the input image after each application of the kernel int n_input_planes Number of input images int n_output_planes Number of output images int input_height Height ofeach input image
TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | TUTORIALS FOR LEARNING TORCHDEVELOPER DOCUMENTATIONTUTORIALS,DEMOS, EXAMPLESBLOG
Implementing Convolution Neural Networks and Recurrent Neural Networks by Nicholas Leonard. Torch Video Tutorials. Covers the basics ( Lua, Torch ’s Tensor and image package) and intruduces the concepts of neural networks, forward and backward propagation (both by-hand using Tensor s and with the nn package). More topics will be added soon. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT. TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and inTORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset. TORCH | TUTORIALS, DEMOS, EXAMPLES Quick Start. Getting started with Torch Five simple examples Documentation. Tutorials, Demos, Examples Package DocumentationTORCH | NEED HELP?
Need help? Torch is largely community-maintained, but we are very friendly and helpful.. Google Groups. Many developers and users answer your questions on the mailing list Installation issues can be reported here. GitHub issues. The GitHub issues page is a good place to find answers, and report issues for the core Torch package. Each package has it’s own issue tracker, for example: nn issues TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix CLASS SPATIALCONVOLUTION Public Fields int k_w Kernel size (height and width) int d_x 'x' translation in the input image after each application of the kernel int d_y 'y' translation in the input image after each application of the kernel int n_input_planes Number of input images int n_output_planes Number of output images int input_height Height ofeach input image
TORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset. TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix TORCH3: THE DREAM COMES TRUE Features. A lot of things in gradient machines, that is, machines which could be learned with a gradient descent. This includes multi-layered perceptrons, radial basis functions, mixtures of experts, convolutional networks and even time-delay neural networks.In fact a lot of "modules" are available that you can plug as you want toget what you need.
TABLE OF CONTENTS
Torch Reference Manual http://www.torch.ch Table of Contents General stuff. List; Text outputs functions. Namespaces. Givens matrix operations routines. Householder TORCH | PACKAGE DOCUMENTATION Package Documentation. The links to the documentation for the core packages are listed here. For other community packages, go to the github link of the package, and you will usually find documentation in their respective README files. torch - doc. nn - doc.TORCH TUTORIAL
CHAPTER 1Introduction Torch is a machine learning library, written in C++, which is under a BSD license. When I say“C++”, it’s in fact C with just the concept of classes found in C++. There-fore, to use Torch, you just need to know C and the bases of C++. With the power of C++ classes Torch has a modular design, and with the power of C1 thecore of Torch
TORCH | DEEP FUN WITH OPENCV AND TORCH Deep Fun with OpenCV and Torch. June 1, 2016 by Egor Burkov The OpenCV library implements tons of useful image processing and computer vision algorithms, as well as the high-level GUI API. Written in C++, it has bindings in Python, Java, MATLAB/Octave, C#, Perl and Ruby. We present the Lua bindings that are based on Torch, made by VisionLabs.. By combining OpenCV with scientific TORCH | TRAINING AND INVESTIGATING RESIDUAL NETS Training and investigating Residual Nets. February 4, 2016 by Sam Gross and Michael Wilber The post was co-authored by Sam Gross from Facebook AI Research and Michael Wilber from CornellTech.. In this blog post we implement Deep Residual Networks (ResNets) and investigate ResNets from a model-selection and optimizationperspective.
TORCH | RECURRENT MODEL OF VISUAL ATTENTION Recurrent Model of Visual Attention. September 21, 2015 by Nicholas Leonard In this blog post, I want to discuss how we at Element-Research implemented the recurrent attention model (RAM) described in .Not only were we able to reproduce the paper, but we also made of bunch of modular code available in the process.CLASS KFOLD
Public Fields int** train_subsets Training examples for each fold int** test_subsets Test examples for each fold int* n_train_subsets Number of training examples for each fold int* n_test_subsets Number of test examples for each fold TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | TUTORIALS FOR LEARNING TORCHDEVELOPER DOCUMENTATIONTUTORIALS,DEMOS, EXAMPLESBLOG
Implementing Convolution Neural Networks and Recurrent Neural Networks by Nicholas Leonard. Torch Video Tutorials. Covers the basics ( Lua, Torch ’s Tensor and image package) and intruduces the concepts of neural networks, forward and backward propagation (both by-hand using Tensor s and with the nn package). More topics will be added soon. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT. TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and inTORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset.TORCH | NEED HELP?
Need help? Torch is largely community-maintained, but we are very friendly and helpful.. Google Groups. Many developers and users answer your questions on the mailing list Installation issues can be reported here. GitHub issues. The GitHub issues page is a good place to find answers, and report issues for the core Torch package. Each package has it’s own issue tracker, for example: nn issues TORCH | TUTORIALS, DEMOS, EXAMPLES Quick Start. Getting started with Torch Five simple examples Documentation. Tutorials, Demos, Examples Package Documentation TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix CLASS SPATIALCONVOLUTION Public Fields int k_w Kernel size (height and width) int d_x 'x' translation in the input image after each application of the kernel int d_y 'y' translation in the input image after each application of the kernel int n_input_planes Number of input images int n_output_planes Number of output images int input_height Height ofeach input image
TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | TUTORIALS FOR LEARNING TORCHDEVELOPER DOCUMENTATIONTUTORIALS,DEMOS, EXAMPLESBLOG
Implementing Convolution Neural Networks and Recurrent Neural Networks by Nicholas Leonard. Torch Video Tutorials. Covers the basics ( Lua, Torch ’s Tensor and image package) and intruduces the concepts of neural networks, forward and backward propagation (both by-hand using Tensor s and with the nn package). More topics will be added soon. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT. TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and inTORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset.TORCH | NEED HELP?
Need help? Torch is largely community-maintained, but we are very friendly and helpful.. Google Groups. Many developers and users answer your questions on the mailing list Installation issues can be reported here. GitHub issues. The GitHub issues page is a good place to find answers, and report issues for the core Torch package. Each package has it’s own issue tracker, for example: nn issues TORCH | TUTORIALS, DEMOS, EXAMPLES Quick Start. Getting started with Torch Five simple examples Documentation. Tutorials, Demos, Examples Package Documentation TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix CLASS SPATIALCONVOLUTION Public Fields int k_w Kernel size (height and width) int d_x 'x' translation in the input image after each application of the kernel int d_y 'y' translation in the input image after each application of the kernel int n_input_planes Number of input images int n_output_planes Number of output images int input_height Height ofeach input image
TORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset. TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix TORCH3: THE DREAM COMES TRUE Features. A lot of things in gradient machines, that is, machines which could be learned with a gradient descent. This includes multi-layered perceptrons, radial basis functions, mixtures of experts, convolutional networks and even time-delay neural networks.In fact a lot of "modules" are available that you can plug as you want toget what you need.
TABLE OF CONTENTS
Torch Reference Manual http://www.torch.ch Table of Contents General stuff. List; Text outputs functions. Namespaces. Givens matrix operations routines. Householder TORCH | PACKAGE DOCUMENTATION Package Documentation. The links to the documentation for the core packages are listed here. For other community packages, go to the github link of the package, and you will usually find documentation in their respective README files. torch - doc. nn - doc.TORCH TUTORIAL
CHAPTER 1Introduction Torch is a machine learning library, written in C++, which is under a BSD license. When I say“C++”, it’s in fact C with just the concept of classes found in C++. There-fore, to use Torch, you just need to know C and the bases of C++. With the power of C++ classes Torch has a modular design, and with the power of C1 thecore of Torch
TORCH | DEEP FUN WITH OPENCV AND TORCH Deep Fun with OpenCV and Torch. June 1, 2016 by Egor Burkov The OpenCV library implements tons of useful image processing and computer vision algorithms, as well as the high-level GUI API. Written in C++, it has bindings in Python, Java, MATLAB/Octave, C#, Perl and Ruby. We present the Lua bindings that are based on Torch, made by VisionLabs.. By combining OpenCV with scientific TORCH | TRAINING AND INVESTIGATING RESIDUAL NETS Training and investigating Residual Nets. February 4, 2016 by Sam Gross and Michael Wilber The post was co-authored by Sam Gross from Facebook AI Research and Michael Wilber from CornellTech.. In this blog post we implement Deep Residual Networks (ResNets) and investigate ResNets from a model-selection and optimizationperspective.
TORCH | RECURRENT MODEL OF VISUAL ATTENTION Recurrent Model of Visual Attention. September 21, 2015 by Nicholas Leonard In this blog post, I want to discuss how we at Element-Research implemented the recurrent attention model (RAM) described in .Not only were we able to reproduce the paper, but we also made of bunch of modular code available in the process.CLASS KFOLD
Public Fields int** train_subsets Training examples for each fold int** test_subsets Test examples for each fold int* n_train_subsets Number of training examples for each fold int* n_test_subsets Number of test examples for each fold TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | TUTORIALS FOR LEARNING TORCHDEVELOPER DOCUMENTATIONTUTORIALS,DEMOS, EXAMPLESBLOG
Implementing Convolution Neural Networks and Recurrent Neural Networks by Nicholas Leonard. Torch Video Tutorials. Covers the basics ( Lua, Torch ’s Tensor and image package) and intruduces the concepts of neural networks, forward and backward propagation (both by-hand using Tensor s and with the nn package). More topics will be added soon. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT.TORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset. TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and in TORCH | TUTORIALS, DEMOS, EXAMPLES Quick Start. Getting started with Torch Five simple examples Documentation. Tutorials, Demos, Examples Package DocumentationTORCH | NEED HELP?
Need help? Torch is largely community-maintained, but we are very friendly and helpful.. Google Groups. Many developers and users answer your questions on the mailing list Installation issues can be reported here. GitHub issues. The GitHub issues page is a good place to find answers, and report issues for the core Torch package. Each package has it’s own issue tracker, for example: nn issues TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix TORCH | PACKAGE DOCUMENTATION Package Documentation. The links to the documentation for the core packages are listed here. For other community packages, go to the github link of the package, and you will usually find documentation in their respective README files. torch - doc. nn - doc. TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | TUTORIALS FOR LEARNING TORCHDEVELOPER DOCUMENTATIONTUTORIALS,DEMOS, EXAMPLESBLOG
Implementing Convolution Neural Networks and Recurrent Neural Networks by Nicholas Leonard. Torch Video Tutorials. Covers the basics ( Lua, Torch ’s Tensor and image package) and intruduces the concepts of neural networks, forward and backward propagation (both by-hand using Tensor s and with the nn package). More topics will be added soon. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT.TORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset. TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and in TORCH | TUTORIALS, DEMOS, EXAMPLES Quick Start. Getting started with Torch Five simple examples Documentation. Tutorials, Demos, Examples Package DocumentationTORCH | NEED HELP?
Need help? Torch is largely community-maintained, but we are very friendly and helpful.. Google Groups. Many developers and users answer your questions on the mailing list Installation issues can be reported here. GitHub issues. The GitHub issues page is a good place to find answers, and report issues for the core Torch package. Each package has it’s own issue tracker, for example: nn issues TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix TORCH | PACKAGE DOCUMENTATION Package Documentation. The links to the documentation for the core packages are listed here. For other community packages, go to the github link of the package, and you will usually find documentation in their respective README files. torch - doc. nn - doc.TORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset. TORCH3: THE DREAM COMES TRUE Features. A lot of things in gradient machines, that is, machines which could be learned with a gradient descent. This includes multi-layered perceptrons, radial basis functions, mixtures of experts, convolutional networks and even time-delay neural networks.In fact a lot of "modules" are available that you can plug as you want toget what you need.
TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.TRANSLATE THIS PAGE Torch | Scientific computing for LuaJIT.TABLE OF CONTENTS
Torch Reference Manual http://www.torch.ch Table of Contents General stuff. List; Text outputs functions. Namespaces. Givens matrix operations routines. Householder TORCH | TRAINING AND INVESTIGATING RESIDUAL NETS Training and investigating Residual Nets. February 4, 2016 by Sam Gross and Michael Wilber The post was co-authored by Sam Gross from Facebook AI Research and Michael Wilber from CornellTech.. In this blog post we implement Deep Residual Networks (ResNets) and investigate ResNets from a model-selection and optimizationperspective.
TORCH | LANGUAGE MODELING A BILLION WORDS Each column is a vector containing potentially multiple sequences, i.e. a multi-sequence. Independent sequences are seperated by zeros. In the next section, we will see how the rnn package can use these zero-masked time-steps to efficiently forget its hidden state between independent sequences (at the granularity of columns). For now, notice how the original sequences are contained in the TORCH | DEEP FUN WITH OPENCV AND TORCH Deep Fun with OpenCV and Torch. June 1, 2016 by Egor Burkov The OpenCV library implements tons of useful image processing and computer vision algorithms, as well as the high-level GUI API. Written in C++, it has bindings in Python, Java, MATLAB/Octave, C#, Perl and Ruby. We present the Lua bindings that are based on Torch, made by VisionLabs.. By combining OpenCV with scientific TORCH | 92.45% ON CIFAR-10 IN TORCH The parameters with which models achieves the best performance are default in the code. I used SGD with cross entropy loss with learning rate 1, momentum 0.9 and weight decay 0.0005, dropping learning rateevery 25 epochs.
CLASS SPATIALCONVOLUTION Public Fields int k_w Kernel size (height and width) int d_x 'x' translation in the input image after each application of the kernel int d_y 'y' translation in the input image after each application of the kernel int n_input_planes Number of input images int n_output_planes Number of output images int input_height Height ofeach input image
TORCH | RECURRENT MODEL OF VISUAL ATTENTION Recurrent Model of Visual Attention. September 21, 2015 by Nicholas Leonard In this blog post, I want to discuss how we at Element-Research implemented the recurrent attention model (RAM) described in .Not only were we able to reproduce the paper, but we also made of bunch of modular code available in the process. TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | TUTORIALS FOR LEARNING TORCHDEVELOPER DOCUMENTATIONTUTORIALS,DEMOS, EXAMPLESBLOG
Implementing Convolution Neural Networks and Recurrent Neural Networks by Nicholas Leonard. Torch Video Tutorials. Covers the basics ( Lua, Torch ’s Tensor and image package) and intruduces the concepts of neural networks, forward and backward propagation (both by-hand using Tensor s and with the nn package). More topics will be added soon. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT.TORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset. TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and in TORCH | TUTORIALS, DEMOS, EXAMPLES Quick Start. Getting started with Torch Five simple examples Documentation. Tutorials, Demos, Examples Package Documentation TORCH | NEED HELP?TORCH FRAMEWORKTORCH 7TORCH LIBRARYTORCH LANGUAGETORCH DEEP LEARNINGTORCH GITHUB Need help? Torch is largely community-maintained, but we are very friendly and helpful.. Google Groups. Many developers and users answer your questions on the mailing list Installation issues can be reported here. GitHub issues. The GitHub issues page is a good place to find answers, and report issues for the core Torch package. Each package has it’s own issue tracker, for example: nn issues TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix TORCH | PACKAGE DOCUMENTATION Package Documentation. The links to the documentation for the core packages are listed here. For other community packages, go to the github link of the package, and you will usually find documentation in their respective README files. torch - doc. nn - doc. TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.BLOGTUTORIALSWHO WE ARESUPPORTGETTING STARTED What is Torch? Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. TORCH | TUTORIALS FOR LEARNING TORCHDEVELOPER DOCUMENTATIONTUTORIALS,DEMOS, EXAMPLESBLOG
Implementing Convolution Neural Networks and Recurrent Neural Networks by Nicholas Leonard. Torch Video Tutorials. Covers the basics ( Lua, Torch ’s Tensor and image package) and intruduces the concepts of neural networks, forward and backward propagation (both by-hand using Tensor s and with the nn package). More topics will be added soon. TORCH | GETTING STARTED WITH TORCH To exit the interactive session, type ^c twice — the control key together with the c key, twice, or type os.exit().Once the user has entered a complete expression, such as 1 + 2, and hits enter, the interactive session evaluates the expression and shows its value.. To evaluate expressions written in a source file file.lua, write dofile "file.lua".. To run code in a file non-interactively TORCH | WE ARE TORCH Torch is a scientific computing framework for LuaJIT.TORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset. TORCH | DEVELOPER DOCUMENTATION This method defines how the trainable parameters are reset, i.e. initialized before training. Modules provide a few other methods that you might want to define, if you are not planning to use the optim package. These methods help zero() the parameters, and update them using very basic techniques.. In terms of code structure, Torch provides a class model, which we use for inheritance, and in TORCH | TUTORIALS, DEMOS, EXAMPLES Quick Start. Getting started with Torch Five simple examples Documentation. Tutorials, Demos, Examples Package Documentation TORCH | NEED HELP?TORCH FRAMEWORKTORCH 7TORCH LIBRARYTORCH LANGUAGETORCH DEEP LEARNINGTORCH GITHUB Need help? Torch is largely community-maintained, but we are very friendly and helpful.. Google Groups. Many developers and users answer your questions on the mailing list Installation issues can be reported here. GitHub issues. The GitHub issues page is a good place to find answers, and report issues for the core Torch package. Each package has it’s own issue tracker, for example: nn issues TORCH | FIVE SIMPLE EXAMPLES or that you are using the REPL th (which requires it automatically).. 1. Define a positive definite quadratic form. We rely on a few torch functions here: rand() which creates tensor drawn from uniform distribution t() which transposes a tensor (note it returns a new view) dot() which performs a dot product between two tensors eye() which returns a identity matrix TORCH | PACKAGE DOCUMENTATION Package Documentation. The links to the documentation for the core packages are listed here. For other community packages, go to the github link of the package, and you will usually find documentation in their respective README files. torch - doc. nn - doc.TORCH | BLOG
Jul 25, 2016 Language modeling a billion words Noise contrastive estimation is used to train a multi-GPU recurrent neural network language model on the Google billion words dataset. TORCH3: THE DREAM COMES TRUE Features. A lot of things in gradient machines, that is, machines which could be learned with a gradient descent. This includes multi-layered perceptrons, radial basis functions, mixtures of experts, convolutional networks and even time-delay neural networks.In fact a lot of "modules" are available that you can plug as you want toget what you need.
TORCH | SCIENTIFIC COMPUTING FOR LUAJIT.TRANSLATE THIS PAGE Torch | Scientific computing for LuaJIT.TABLE OF CONTENTS
Torch Reference Manual http://www.torch.ch Table of Contents General stuff. List; Text outputs functions. Namespaces. Givens matrix operations routines. Householder TORCH | TRAINING AND INVESTIGATING RESIDUAL NETS Training and investigating Residual Nets. February 4, 2016 by Sam Gross and Michael Wilber The post was co-authored by Sam Gross from Facebook AI Research and Michael Wilber from CornellTech.. In this blog post we implement Deep Residual Networks (ResNets) and investigate ResNets from a model-selection and optimizationperspective.
TORCH | LANGUAGE MODELING A BILLION WORDS Each column is a vector containing potentially multiple sequences, i.e. a multi-sequence. Independent sequences are seperated by zeros. In the next section, we will see how the rnn package can use these zero-masked time-steps to efficiently forget its hidden state between independent sequences (at the granularity of columns). For now, notice how the original sequences are contained in the TORCH | DEEP FUN WITH OPENCV AND TORCH Deep Fun with OpenCV and Torch. June 1, 2016 by Egor Burkov The OpenCV library implements tons of useful image processing and computer vision algorithms, as well as the high-level GUI API. Written in C++, it has bindings in Python, Java, MATLAB/Octave, C#, Perl and Ruby. We present the Lua bindings that are based on Torch, made by VisionLabs.. By combining OpenCV with scientific TORCH | 92.45% ON CIFAR-10 IN TORCH The parameters with which models achieves the best performance are default in the code. I used SGD with cross entropy loss with learning rate 1, momentum 0.9 and weight decay 0.0005, dropping learning rateevery 25 epochs.
CLASS SPATIALCONVOLUTION Public Fields int k_w Kernel size (height and width) int d_x 'x' translation in the input image after each application of the kernel int d_y 'y' translation in the input image after each application of the kernel int n_input_planes Number of input images int n_output_planes Number of output images int input_height Height ofeach input image
TORCH | RECURRENT MODEL OF VISUAL ATTENTION Recurrent Model of Visual Attention. September 21, 2015 by Nicholas Leonard In this blog post, I want to discuss how we at Element-Research implemented the recurrent attention model (RAM) described in .Not only were we able to reproduce the paper, but we also made of bunch of modular code available in the process.* Docs
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A scientific computing framework for LuaJITGet Started
WHAT IS TORCH?#
Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. A summary of core features: * a powerful N-dimensional array * lots of routines for indexing, slicing, transposing, … * amazing interface to C, via LuaJIT * linear algebra routines * neural network, and energy-based models * numeric optimization routines * Fast and efficient GPU support * Embeddable, with ports to iOS and Android backendsWHY TORCH?#
The goal of Torch is to have maximum flexibility and speed in building your scientific algorithms while making the process extremely simple. Torch comes with a LARGE ECOSYSTEM OF COMMUNITY-DRIVEN PACKAGES in machine learning, computer vision, signal processing, parallel processing, image, video, audio and networking among others, and builds on top of the Luacommunity.
At the heart of Torch are the popular neural network and optimization libraries which are simple to use, while having maximum flexibility in implementing complex neural network topologies. You can build arbitrary graphs of neural networks, and parallelize them over CPUs and GPUs in an efficient manner.USING TORCH#
Start with our Getting Started guide to download and try Torch yourself. Torch is open-source, so you can also start with the code on the GitHub repo.
Torch is constantly evolving: it is already used within Facebook, Google, Twitter, NYU, IDIAP, Purdue and several other companies andresearch labs.
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Torch7 maintained by Ronan, Clément, Koray and Soumith.Details
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