Neural Networks & Deep Learning — moved

ai-generated

This topic reference has been merged into the hub atomic note. All content (Hopfield networks, MLP, backpropagation, universal approximation, deep-learning challenges & solutions, autoencoders, Transformers & self-attention, BERT vs. GPT, formulas, exam traps, comparison tables, slide-vs-textbook fact-checks, ALGORITHMS section, worked backprop trace, worked attention computation) now lives here:

➡️ Neural Networks & Deep Learning

Companion files (unchanged):

Superlink: Methods of AI Lecture