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a stab at implementing a neural network from scratch

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rust port of python in http://neuralnetworksanddeeplearning.com/chap1.html

main goal: me understanding what's going on

results: ~95% accuracy in 30 epochs, learning rate = 3.0, batchsize = 10

training_data/test_data not included
too big for github

Format: json:
[{"x":[float;784], "y": u32}]
=> x: 28x28 gray image as float
=> y: label 0.. 9

the data can be found here: https://github.com/mnielsen/neural-networks-and-deep-learning/blob/master/data/mnist.pkl.gz albeit in a different format, convert it with convert_pickle.py

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