- showcasing MNIST numbers classification
- using only numpy
- achieves about 0.98 F1 on 1_000 iteration cycles (no hyperparam optimalization)
- made to closely understand the inner workings of simple perceptrons
-
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NN from scratch for MNIST classification.
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