深度学习前期准备

版权声明:本文为博主原创文章,未经博主允许不得转载。 https://blog.csdn.net/jorg_zhao/article/details/52718606


摘要

   

为了后续的深度学习的入门,平时看到的有关网站和视频,这里备份一下。


5个深度学习框架比较

   

分享一个关于最受欢迎的5个深度学习框架(SciKit Learn,TensorFlow,Theano,Keras,和Caffe)的比较视频:http://weibo.com/p/23044464933dbb5463a1b0cef9ebcb4207b869 。遍历每一个优点和缺点,以及一些示例代码,最终来做出一个明确的结论。

    奋斗The code for the TensorFlow vs Theano part of the video is here: 点击打开链接

    https://github.com/llSourcell/tensorflow_vs_theano

    奋斗An article that explains the differences in more detail: 点击打开链接

    https://medium.com/@sentimentron/faceoff-theano-vs-tensorflow-e25648c31800#.bg4xmz1au

    奋斗Learn more about TF Learn here:点击打开链接

    https://github.com/tflearn/tflearn

    奋斗and here:点击打开链接

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

    奋斗Learn more about TensorFlow here:点击打开链接

    https://www.oreilly.com/learning/hello-tensorflow

    奋斗More on Keras here:点击打开链接

    http://machinelearningmastery.com/tutorial-first-neural-network-python-keras/

    奋斗More on SciKit Learn here:点击打开链接

    http://scikit-learn.org/stable/tutorial/

    奋斗More on Caffe here:点击打开链接

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

    奋斗More on Theano here:点击打开链接

    https://github.com/Newmu/Theano-Tutorials








    


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转载自blog.csdn.net/jorg_zhao/article/details/52718606