4 docs tagged with "classification"

Forward propagation, loss gradients, backpropagation, and parameter updates in a small multilayer classifier.

Binary classification with a linear score, sigmoid output, log loss, and chain-rule parameter gradients.

Gaussian generative classifiers whose shared or class-specific covariance assumptions produce linear or quadratic decision boundaries.

Multiclass linear classification with logits, softmax probabilities, cross-entropy, and clear boundaries around multilabel tasks.