<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Circlecircle3的博客]]></title><description><![CDATA[]]></description><link>https://blog.csdn.net/Circlecircle3</link><language>zh-cn</language><generator>https://blog.csdn.net/</generator><copyright><![CDATA[Copyright &copy; Circlecircle3]]></copyright><item><title><![CDATA[主流深度学习框架对比（TensorFlow、Keras、MXNet、PyTorch）]]></title><link>https://blog.csdn.net/Circlecircle3/article/details/82086396</link><guid>https://blog.csdn.net/Circlecircle3/article/details/82086396</guid><author>Circlecircle3</author><pubDate>Mon, 27 Aug 2018 00:56:03 +0800</pubDate><description><![CDATA[近几年来，深度学习的研究和应用的热潮持续高涨，各种开源深度学习框架层出不穷，包括TensorFlow，Keras，MXNet，PyTorch，CNTK，Theano，Caffe，DeepLearning4，Lasagne，Neon，等等。Google，Microsoft等商业巨头都加入了这场深度学习框架大战，当下最主流的框架当属TensorFlow，Keras，MXNet，PyTorch，接下来我...]]></description><category></category></item></channel></rss>