Regression with a Perceptron
A single linear unit for regression, including squared loss, chain-rule gradients, and parameter updates.
Classification with Perceptron
Binary classification with a linear score, sigmoid output, log loss, and chain-rule parameter gradients.
Classification with a Neural Network
Forward propagation, loss gradients, backpropagation, and parameter updates in a small multilayer classifier.