Why it matters: See how batch normalization speeds up neural network training, what its formula means, and how to add it in PyTorch and Keras the right way.
Why it matters: Cross entropy loss explained: binary cross entropy loss formula, categorical cross entropy, focal loss, label smoothing, PyTorch code, and production tips.
Why it matters: Master the softmax activation function: math, gradient, temperature scaling, transformer attention, PyTorch code, calibration risks, and modern alternatives.