Neural Network From Scratch
Making a simple neural network from scratch. Uses MNIST database of 28x28 pixel images of handwritten numbers. Made in python with just numpy.
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Max
Check their project out: Skywell
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Ok so my project got rejected AGAIN. the .exe wasnt working BUT IT WORKED ON MY MACHINE AHHHH. anyway i switched from sklearn to tensorflow for importing mnist and it worked fine on other computers. There were some problems building the .exe but i figured it out.
Well, I did it. It was easier than expected. I did kinda use AI tho (its VSCode's fault, it autocompletes). This one uses only one hidden layer of 100 neurons and still gets 95% accuracy. I might make one with Java or something instead (without ANY AI). Or maybe make a convolutional neural network from scratch next.
