How Artificial Intelligence Works
Briefly covers AI from basic algorithms to modern neural networks, explaining how machines learn, predict, and generate content, with key models, training principles, and practical insights for clear, applicable understanding.
Read PDFCategorical Invariants of Learning Dynamics
Models neural network training as a functor from parameters to representations, studying trajectory homotopies and topological features to explain generalization and functional equivalence.
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