batch-normalization

1 free lesson tagged batch-normalization across AI. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.

intermediate

Training: Optimization and Regularization

Go from a raw neural network to one that actually generalizes. Covers loss functions (MSE, cross-entropy), gradient descent variants (SGD, momentum, Adam), learning-rate effects, overfitting vs underfitting, and the regularization toolkit (L2/dropout/early stopping/batch norm).

9 steps·~14 min

Training: Optimization and Regularization

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