Deep Learning Frameworks
Posted on June 16, 2017
I put together a very brief, not-deep-at-all report on deep learning frameworks available right now. It only covers the most popular, general purpose, well supported, freely licensed ones. I didn’t even install any of these frameworks or run models in them for this report. The purpose was a lot of reading to help me make a decision on which one(s) I wanted to pursue further.
Frameworks looked at: TensorFlow, Cognitive Toolkit, Caffe, Theano, Torch, Deeplearning4J, and Neon.
More information about deep learning in general:
https://en.wikipedia.org/wiki/Deep_learning
http://www.r2d3.us/visual-intro-to-machine-learning-part-1/
https://www.technologyreview.com/s/513696/deep-learning/
http://deeplearning.net
https://www.forbes.com/sites/bernardmarr/2016/12/08/what-is-the-difference-between-deep-learning-machine-learning-and-ai/
Links for computer scientists / programmers:
http://distill.pub
http://colah.github.io
http://pages.cs.wisc.edu/~dyer/cs540/handouts/deep-learning-nature2015.pdf
http://ufldl.stanford.edu/tutorial/
https://developer.nvidia.com/educators
* TensorFlow logo comes from Google.
