Summary
In order to follow the in-depth study of the introductory, usually see the relevant sites and videos, here back up.
A comparison of 5 depth learning frameworks
Share a comparison video about the most popular 5 depth learning frameworks (Scikit Learn,tensorflow,theano,keras, and Caffe): http://weibo.com/p/ 23044464933dbb5463a1b0cef9ebcb4207b869. Iterate through each of the pros and cons, as well as some sample code, to make a definitive conclusion.
The code for the TensorFlow vs. Theano part of the "the" is here: Click to open the link
Https://github.com/llSourcell/tensorflow_vs_theano
An article so explains the differences in more detail: Click to open the link
https://medium.com/@sentimentron/faceoff-theano-vs-tensorflow-e25648c31800#.bg4xmz1au
Learn more about TF Learn here: Click on the Open link
Https://github.com/tflearn/tflearn
And here: Click on the Open link
Https://www.tensorflow.org/versions/r0.9/tutorials/tflearn/index.html
Learn more about TensorFlow here: Click to open the link
Https://www.oreilly.com/learning/hello-tensorflow
More on Keras here: Click on the Open link
http://machinelearningmastery.com/tutorial-first-neural-network-python-keras/
More on Scikit Learn: Click to open link
http://scikit-learn.org/stable/tutorial/
More on Caffe here: Click on the Open link
Http://christopher5106.github.io/deep/learning/2015/09/04/Deep-learning-tutorial-on-Caffe-Technology.html
More on Theano here: Click on the Open link
Https://github.com/Newmu/Theano-Tutorials