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Part 03 · Deep Learning

Project: Build a Neural Network from Scratch

NumPyBackpropagationMNISTGradient check

A two-layer network in plain NumPy that reads handwritten digits: forward pass, backprop, a gradient check to prove your maths, and a training loop you wrote line by line.

⏱ 5-6 hours · Station 21 of 92

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← Previous stopRNNs and the Attention MechanismNext stop →Project: Image Classifier in PyTorch
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