/NeuralNets

A Python implementation of a generalised Neural Network with (a) sigmoid activations and (b)ReLU activation functions. The network accepts the number of layers and the number of perceptrons in every layer as input parameters and contructs the Network in a fully connected manner (that is, every perceptron in a layer is connected to every perceptron in the following layer). The network is trained and tested with the MNIST dataset.

Primary LanguagePython

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