This project follows the Neural Networks and Deep Learning book by Michael Nielson. http://neuralnetworksanddeeplearning.com/index.html https://github.com/unexploredtest/neural-networks-and-deep-learning
I have annotated the algorithms as I have learnt about them from the book and taken notes in Obsidian which I will add as a folder.
The code is all taken straight from the book and can be run in a python shell as follows:
import mnist_loader
training_data, validation_data, test_data = mnist_loader.load_data_wrapper()
import network
net = network.Network([784,30,10])
net.SGD(training_data, 30, 10, 3.0, test_data=test_data)