Keras: The Python Deep Learning library Introduction

Keras是一个高阶神经网络API,可在TensorFlow、CNTK或Theano上运行,专注于快速实验。它支持卷积网络和循环网络,以及两者的组合,同时在CPU和GPU上无缝运行。Keras提供Sequential模型和功能API,使得构建复杂网络结构变得简单快捷。

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Keras: The Python Deep Learning library Introduction

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Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.

Use Keras if you need a deep learning library that:

  1. Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility).
  2. Supports both convolutional networks and recurrent networks, as well as combinations of the two.
  3. Runs seamlessly on CPU and GPU.

Keras is compatible with: Python 2.7-3.6.

Getting started: 30 seconds to Keras

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