15 Deep Learning Libraries

15 Deep Learning Libraries?

  • Are 15 libraries in various languages to help implement your deep learning algorithm.
  • Its powerful, flexible and intuitive and is considered as the flexible framework for Deep Learning.
  • It comes with rich set of deep learning libraries as a part of machine learning libraries.
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  • Mocha is a Deep Learning framework for Julia, inspired by the C++ framework Caffe.

 

Here are 15 libraries in various languages to help implement your deep learning algorithm.

Theano is a python library for defining and evaluating mathema…
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Deep Learning Libraries by Language

#DeepLearning Libraries by Language

  • darch package can be used for generating neural networks with many layers (deep architectures).
  • Convnet.js is a Javascript library for training Deep Learning models (mainly Neural Networks) entirely in a browser.
  • DeepLearning is deep learning library, developed with C++ and python.
  • Pylearn2 is a library that wraps a lot of models and training algorithms such as Stochastic Gradient Descent that are commonly used in Deep Learning.
  • Intel® Deep Learning Framework provides a unified framework for Intel® platforms accelerating Deep Convolutional Neural Networks.

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Python

Theano is a python library for defining and evaluating mathematical expressions with numerical arrays.

Keras is a mi…


Deep Learning Libraries by Language