Introduction to Deep Learning

Lihi Shiloh-Perl; Raja Giryes

doi:10.1007/978-3-031-24628-9_14

Introduction to Deep Learning

Lihi Shiloh-Perl, Raja Giryes^*

^*Corresponding author for this work

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

Deep learning (DL) has made a major impact on data science in the last decade. This chapter introduces the basic concepts of this field. It includes both the basic structures used to design deep neural networks and a brief survey of some of its popular use-cases.

Original language	English
Title of host publication	Machine Learning for Data Science Handbook
Subtitle of host publication	Data Mining and Knowledge Discovery Handbook, Third Edition
Publisher	Springer International Publishing
Pages	301-338
Number of pages	38
ISBN (Electronic)	9783031246289
ISBN (Print)	9783031246272
DOIs	https://doi.org/10.1007/978-3-031-24628-9_14
State	Published - 1 Jan 2023

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Introduction to Deep Learning

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