Deep Learning (DL) Library

A Deep Learning (DL) Library is a ML library that implements deep learning algorithms.

• Context:
  • It can be a Python DL Library, ...
  • It can be a part of a DL Framework (such as Pytorch, and TensorFlow.
  • It can be a Domain-Specific DL Library, such as Text-focused DL Library.
  • …
• Example(s):
  • Theano DL Library.
  • Torch DL Environment.
  • pylearn.
  • Torch Library - Lua-based neural network library.
  • cuda-convnet a C++-based convolutional/feed-forward neural networks.
  • deepnet.
  • CUV NN library.
  • nnForge Library, a C++ library for training convolutional fully-connected neural networks.
  • Caffe Framework for convolutional neural network algorithms.
  • …
• See: ....

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