Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory

In three linesTheoretical book proposing a mathematical framework for representation learning in deep networks. Uses optimization and information theory to explain design principles of modern architectures, aiming to demystify mechanisms of large generative models currently treated as black boxes.

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