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Resources: 3Blue1Brown playlist on neural networks: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi References for backpropogation algorithm: https://machinelearningmastery.com/implement-backpropagation-algorithm-scratch-python/ References for softmax algorithm without overflow: https://www.deeplearningbook.org in part 1 chapter 4 pg 79

Instructions: Creating Model: use Model() constructor to initialize model;
Creating Layers: layer = Layer(numberOfNodes, activationFn, previousLayer) or layer = InputLayer(numberOfNodes);
Note: possible activation functions as of 7/5/2022 are "relu", "sigmoid", and "softmax";
Adding Layers: model.addLayer(layer);
Training Model: trainModel(model, data, labels, epochs, learningRate);

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