implementation of a basic Artificial Neural Network This project is the implementation of a neural network, with 2 hidden layers (16 neuron each) and using stochastic gradient descent and backpropagation to train the network. We get 60000 labeled-training data and 10000 labeled-test data from MNIST database.
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MrezaDorudian/Handwritten-Digit-Recognition
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