The Principles of Deep Learning Theory
This book develops an effective theory approach to understanding deep neural
networks of practical relevance. Beginning from a first-principles
component-level picture of networks, we explain how to determine an accurate
description of the output of trained networks by solving layer-to-layer
iterati…
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