Overview of Neural Networks; Hebb’s Rule; Weight Tuning via Supervised Learning; Back Propagation Algorithm – 18/02/2025
Stochastic Methods Rooted in Statistical Mechanics; Markov Chains: Definitions of States & Transitions; Stationarity & Ergodic Probabilities; Global & Detailed Balance Equations – 04/03/2025
Boltzmann Machine; Gibbs Sampling & Bayesian Statistics; Boltzmann Learning Rule, Maximum Likelihood Principle; Generative Models, Generative Adversarial Network (GAN) – 18/03/2025