Deep Learning (DL) Library
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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: [[]].