Deep Learning Frameworks

New #cuDNN 5.1, 2.7x faster training of #deeplearning networks with 3x3 convolutions.

  • Deep learning course: Getting Started with the Caffe Framework
  • Choose a deep learning framework from the list below, download the supported version of cuDNN and follow the instructions on the framework page to get started.
  • Chainer is a deep learning framework that’s designed on the principle of define-by-run.
  • Caffe is a deep learning framework made with expression, speed, and modularity in mind.

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@GPUComputing: “New #cuDNN 5.1, 2.7x faster training of #deeplearning networks with 3×3 convolutions.”


The NVIDIA Deep Learning SDK accelerates widely-used deep learning frameworks such as Caffe, CNTK, TensorFlow, Theano and Torch as well as many other deep learning applications. Choose a deep learning framework from the list below, download the supported version of cuDNN and follow the instructions on the framework page to get started.


Deep Learning Frameworks

Lighting the way to deep machine learning

Lighting the way to deep #MachineLearning #DataScience

  • The data set iterator receives as input a closure that constructs the Torchnet data set object.
  • Torchnet provides a framework on top of a deep learning framework (in this case, torch/nn ) that makes rapid experimentation easier.
  • For instance, small subpackages that wrap vision data sets such as the Imagenet and COCO data sets, speech data sets such as the TIMIT and LibriSpeech data sets, and text data sets such as the One Billion Word Benchmark and WMT-14 data sets.
  • Although machine learning and artificial intelligence have been around for many years, most of their recent advances have been powered by publicly available research data sets and the availability of more powerful computers – specifically ones powered by GPUs.
  • The modular Torchnet design makes it easy to test a series of coding variants focused around the data set, the data loading process, and the model, as well as optimization and performance measures.

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@MikeTamir: “Lighting the way to deep #MachineLearning #DataScience”


Building rapid and clean prototypes for deep machine-learning operations can now take a big step forward with Torchnet, a new software toolkit that fosters rapid and collaborative development of deep learning experiments by the Torch community.


Lighting the way to deep machine learning