Summer 2020 (between Gr.11 and Gr.12)

I was doing the Andrew Ng's machine learning course on Coursera and decided I would try to make a neural network in C#, as well as run gradient descent. 

This proved to be a mistake because I for some reason built it out of jagged arrays, using no matrix library, which was a nightmare of nested for loops and figuring out which indices lined up, and of course nothing is parallelized.  It is also pretty bad with data outside of its training set, maybe it's too small or maybe it's overfit (tried some regularization).

StatusReleased
CategoryOther
PlatformsHTML5
AuthorSawingHorseField
Made withUnity

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