Tensorflow introduction and practice (basic knowledge)-multilayer perceptron implementation code softmax

table of Contents

1 Theoretical knowledge

2 Data set

2.1 Fasihion MNIST datasets

3 Code practice

3.1 introduction of packets

3.2 Implementation code:

3.2.1 Digital coding

When training parameters

3.2.2 Hot coding

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1 Theoretical knowledge

2 Data set

2.1 Fasihion MNIST data set

Take a look at the data set

3 Code practice

3.1 The introduction of data packets

3.2 Implementation code:

3.2.1 Digital coding

When training parameters

• categorical_crossentropy when reading hot encoding

• sparse_categorical_crossentropy 0,1,2,3 digitally encoded words used

3.2.2 Hot coding

Data Format: