TensorFlow的封装

2019/01/18 14:34
阅读数 15

TensorFlow是比较底层的深度学习API,TF-Slim、TFLearn、Keras和TensorLayer均尝试简化TensorFlow/Theano,它们对TensorFlow/Theano的进行高层封装,API实现更加的工程化。从1.0开始,TensorFlow官方支持Keras,所以Keras会成为主流。

TF-Slim: A high level library to define complex models in TensorFlow.
链接:https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/slim

TFLearn: A deep learning library featuring a higher-level API for TensorFlow.
链接:http://tflearn.org/

Keras: A deep learning library for TensorFlow/Theano in Python. Convnets, recurrent neural networks, and more.
链接:https://keras.io/

TensorLayer: A deep learning and reinforcement learning library for TensorFlow.
链接:http://tensorlayer.readthedocs.io/en/latest/index.html

PS: 一个对比的讨论:
https://www.zhihu.com/question/50030898/answer/119785042

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