Add mnist-nn-scratch to Neural Network section - #1985
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A from-scratch NumPy implementation of backprop, conv2d, batchnorm, dropout, and Adam — no autograd, no PyTorch/TensorFlow. 99.39% test accuracy on MNIST with the conv net (99.55% with test-time augmentation), 98.28% from a plain MLP. Includes a gradient checker and a log of 16 defects it caught.
https://github.com/3more102/mnist-nn-scratch