Michael Rizig

92% accuracy in data classification tasks

This Neural Network was built from scratch using no prebuilt frameworks or libraries (except math via numpy). This neural network classifies spiral datasets with 92% accuracy. It utilizes categorical cross entropy loss functions, stochastic gradient descent optimization, and uses softmax and relu activation functions.