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NeuralNetFromScratch

A neural network class supporting dense neural networks with ReLU activation functions, mean squared error loss and backpropagation coded from scratch importing only numpy. Created as a test of my understanding. This is not intended to be a particularly fast, efficient, or extensible implementation.