Cross-Entropy

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MSE for regression, cross-entropy for classification, and the TD error loss in DQN — how loss functions guide neural network training.

Go to Loss Functions: Measuring How Wrong the Network Is →

Binary classifier from scratch: sigmoid + cross-entropy loss + gradient update. The building block of softmax policies.

Go to Logistic Regression →