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Thethreebodyproblem/Neral-Net-implementation

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Neral-Net-implementation

The first version only have one hidden layer

You need to first initial with the parameter: num_node: number of node in the hidden layer lr: learning rate iteration: number of iterations

then run the nerual_net_building function with your training data set. Use training function to train the model. In the predict fuction, you can choose to get the probability if you set the parameter: predict_prob=True

This module contain evaluate function. the default metric is accuracy.

this version only have one hidden layer and aims for classification problem!!

This is the new version enable number of node in the hidden layer

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The first version only have one hidden layer

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