Lecture Notes in Deep Learning by Shlomo Dubnov (.PDF)

File Size: 27.3 MB

Lecture Notes in Deep Learning: Theoretical Insights Into an Artificial Mind by Shlomo Dubnov, Dongmian Zou
Requirements: .PDF reader, 27.3 MB
Overview: The compendium provides an introduction to the theory of Deep Learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, neural tangent and information theory. This unique reference text complements a largely missing theoretical introduction to neural networks without being overwhelmingly technical in a level accessible to upper-level undergraduate engineering students. Advanced chapters were designed to offer an additional intuition into the field by explaining Deep Learning from statistical and information theory perspectives. The book further provides additional intuition to the field by relating it to other statistical and information modeling approaches. This book aims to provide a comprehensive introduction to Deep Learning, a vibrant subfield of Machine Learning that has quickly become a cornerstone of modern Artificial Intelligence. The motivation for writing this text originated when we co-taught a Deep Learning course for senior students at Duke Kunshan University (DKU).
Genre: Non-Fiction > Tech & Devices

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