This project conists of developing a neural network from scratch using backpropagation over matrices. In order to do this, we implement the four fundamental equations of backpropagation and stochastic gradient descent.
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Programming a neural network from scratch. Implements backpropagation and batch gradient descent, as well as layer-based activation functions.
b-cho/neural-network
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Programming a neural network from scratch. Implements backpropagation and batch gradient descent, as well as layer-based activation functions.
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