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Deep Learning Frameworks Compared



In this video, I compare 5 of the most popular deep learning frameworks (SciKit Learn, TensorFlow, Theano, Keras, and Caffe). We go through the pros and cons of each, as well as some code samples, eventually coming to a definitive conclusion.

The code for the TensorFlow vs Theano part of the video is here:
https://github.com/llSourcell/tensorflow_vs_theano

An article that explains the differences in more detail:
https://medium.com/@sentimentron/faceoff-theano-vs-tensorflow-e25648c31800#.bg4xmz1au

I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/

Learn more about TF Learn here:
https://github.com/tflearn/tflearn

and here:
https://www.tensorflow.org/versions/r0.9/tutorials/tflearn/index.html

Learn more about TensorFlow here:
https://www.oreilly.com/learning/hello-tensorflow

More on Keras here:
http://machinelearningmastery.com/tutorial-first-neural-network-python-keras/

More on SciKit Learn here:
http://scikit-learn.org/stable/tutorial/

More on Caffe here:
http://christopher5106.github.io/deep/learning/2015/09/04/Deep-learning-tutorial-on-Caffe-Technology.html

More on Theano here:
https://github.com/Newmu/Theano-Tutorials

Thanks for watching guys, I do this for you. If you like my videos, feel free to support me on Patreon and please LIKE, SUBSCRIBE, COMMENT, AND SHARE!

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