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Building a neural network from scratch to understand the core mechanics of deep learning, including activation functions, loss calculation, and backpropagation.MNIST dataset from Scratch

backpropagation deep-learning loss-calculation neural-networks

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Neural-Network-from-Scratch-

MNIST dataset from Scratch

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Building a neural network from scratch to understand the core mechanics of deep learning, including activation functions, loss calculation, and backpropagation.MNIST dataset from Scratch

backpropagation deep-learning loss-calculation neural-networks

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Report repository

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