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An implemention of MLP (Multi Layer Perceptron) Classifier from scratch in numpy

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Name		Name	Last commit message	Last commit date
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README.md		README.md
expample.py		expample.py
mlp.py		mlp.py
mnist_example.png		mnist_example.png

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An implemention of MLP (Multi Layer Perceptron) Classifier from scratch in numpy.

Description

hidden layers activation is sigmoid
output layer activation is softmax
loss function is cross-entropy
support save and load model weights

Example:

Mnist Dataset Classfication

Download Data:

Run exapmle
Training log of example

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An implemention of MLP (Multi Layer Perceptron) Classifier from scratch in numpy

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