Implementation of MLP, Autoencoder, and RBM from scratch using Python and NumPy on the MNIST dataset for classification, representation learning, and feature extraction. This project demonstrates the ...
This Python Script reads in the data from the MNIST database and trains a four layer feed forward network via backpropagation and stochastic gradient descent to recognize the digit displayed in a ...
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