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Comparison of deep learning software

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The following table compare some of the most popular software libraries for deep learning.

Libraries

Library Creator Software license[a] Open source Platform Written in Interface OpenCL support CUDA support Note
Caffee Berkeley Vision and Learning Center, community contributors BSD 2-Clause License Yes C++, Python[1] C++, command line, Python, MATLAB[2] Pull request,[3] see also OpenCL Caffe Yes Supposedly very fast convnet implementation[4]
TensorFlow Google Brain team Apache 2.0 open source license Yes Linux, Mac OS X Python, C++ Python, C/C++ No[5] Yes
Torch Ronan Collobert, Koray Kavukcuoglu, Clement Farabet BSD License Yes Linux, Android, Mac OS X, iOS Lua, LuaJIT, C, CUDA, C++ Torch, C, utility library for C++/OpenCL[6] Utility library for C++/OpenCL[6], OpenCL backend[7] Yes
  1. ^ Licenses here are a summary, and are not taken to be complete statements of the licenses. Some libraries may use other libraries internally under different licenses

References

  1. ^ http://caffe.berkeleyvision.org/development.html
  2. ^ http://caffe.berkeleyvision.org/tutorial/interfaces.html
  3. ^ https://github.com/BVLC/caffe/pull/2195
  4. ^ http://caffe.berkeleyvision.org/
  5. ^ https://github.com/tensorflow/tensorflow/issues/22
  6. ^ a b https://github.com/jonathantompson/jtorch
  7. ^ https://github.com/hughperkins/cltorch
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