Stochastic Gradient Descent

This chapter gives a broad overview and a historical context around the subject of deep learning. It also gives the reader a roadmap for navigating the book, the prerequisites, and further reading to dive deeper into the subject matter.

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Bibliographische Detailangaben
Veröffentlicht in:Deep Learning with Python S. 113 - 132
1. Verfasser: Ketkar, Nikhil
Format: Buchkapitel
Sprache:Englisch
Veröffentlicht: United States Apress L. P 2017
Apress
Schlagworte:
Computer programming / software development
Gradient Descent
Learning Rate
Loss Function
Program concepts / learning to program
Programming & scripting languages: general
Saddle Point
Steep Descent
ISBN:1484227654, 9781484227657
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This chapter gives a broad overview and a historical context around the subject of deep learning. It also gives the reader a roadmap for navigating the book, the prerequisites, and further reading to dive deeper into the subject matter.
ISBN:1484227654
9781484227657
DOI:10.1007/978-1-4842-2766-4_8