Neural Networks & Deep Learning — moved
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