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.

Read the full article, click here.


@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

Yann LeCun’s answer to What are your recommendations for self-studying machine learning?

Facebook director of AI research @ylecun’s recommendations for self-studying deep learning

  • A recent series of 8 lectures on deep learning that I gave at Collège de France in Paris.
  • You can get a broad idea of deep what deep learning is about through tutorial lectures that are available from the Web.
  • Nikhil Dandekar , worked on machine learning at Microsoft, Foursquare and Quora
  • my 2015 course on Deep Learning at NYU: deeplearning2015:schedule | CILVR Lab @ NYU (unfortunately, the videos of the lectures had to be taken down due to stupid legal reasons, but the slides are there).
  • There is tons of on-line material, tutorials and courses on ML, including Coursera lectures.

Read the full article, click here.


@kylebrussell: “Facebook director of AI research @ylecun’s recommendations for self-studying deep learning”


I’ll respond more specifically for deep learning. You can get a broad idea of deep what deep learning is about through tutorial lectures that are available from the Web. Most notably:


Yann LeCun’s answer to What are your recommendations for self-studying machine learning?