Tensorflow2.0 entry and practical study notes (4)-functional Api

table of Contents

1 Introduction:

2 Simple fully connected neural network

3 Simple to add a network layer:

References: https://www.cnblogs.com/geeksongs/p/13204568.html

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1 Introduction:

When we use tensorflow, if we can't use functional api for programming, then some complex neural network structures will not be realized, and we can only use simple one-way models to stack layer by layer . If it is a little more complicated and encounters a neural network with residual modules like Resnet, it is impossible to stack this kind of network with a simple neural network stacking method. Let's use functional API to write a simple fully connected neural network :

2 Simple fully connected neural network

As shown

Benefits are:

Multi-input model

For example, to judge whether two are the same kind

Multiple input multiple output model

3 Simple to add a network layer:

This part will be used all the time, then reference materials will be enough

References:
https://www.cnblogs.com/geeksongs/p/13204568.html

TF2.0 actual combat tutorial of station b Sunyueguanghua