Machine Learning Frameworks

Machine Learning Frameworks

TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments.

https://www.usenix.org/system/files/conference/osdi16/osdi16-abadi.pdf

https://www.tensorflow.org/

 

Caffe provides multimedia scientists and practitioners with a clean and modifiable framework for state-of-the-art deep learning algorithms and a collection of reference models.

https://dl.acm.org/citation.cfm?id=2654889

 

Chainer: A Next-Generation Open Source Framework for Deep Learning

http://learningsys.org/papers/LearningSys_2015_paper_33.pdf

 

The Microsoft Cognitive Toolkit (CNTK) – (for 64 bits windows or 64bit linux)

https://docs.microsoft.com/en-us/cognitive-toolkit/setup-cntk-on-your-machine

 

Keras:  A high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK or Theano.

https://keras.io