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A Multi-layer Perceptron implementation from scratch using Python and NumPy.

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Multi-layer Perceptron

A Multi-layer Perceptron implementation using Python and NumPy.

With this implementation you can specify number of neurons in input, hidden and output layer. Even you can use more than one hidden layer or no hidden layer.

For now the code is limited to use Sigmoid function for hidden layer and Softmax function for output layer for classification purposes.

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A Multi-layer Perceptron implementation from scratch using Python and NumPy.

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