ML——keras

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keras官网：https://keras.io/api/models/

创建keras 模型有三种方法：Sequential model、Functional API、Model subclassing  （初学者常用Sequential model）

There are three ways to create Keras models:

• The Sequential model, which is very straightforward (a simple list of layers), but is limited to single-input, single-output stacks of layers (as the name gives away).
• The Functional API, which is an easy-to-use, fully-featured API that supports arbitrary model architectures. For most people and most use cases, this is what you should be using. This is the Keras "industry strength" model.
• Model subclassing, where you implement everything from scratch on your own. Use this if you have complex, out-of-the-box research use cases.

后续补充。。。。。

ML——keras

标签：func   mod   href   lex   tps   using   which   class   ted   

原文地址：https://www.cnblogs.com/cfancy/p/13020736.html