Neural Networks

This is a conceptual bridge lecture, not a deep learning course. We connect logistic regression to the single neuron, then build up to hidden layers and activation functions. The lecture focuses on when neural networks add value (large data, structured inputs like images and text) and when classical ML remains the better choice (tabular data, small samples, interpretability requirements).