Activation Functions: Activation functions in deep learning with LaTex application

By:

Kütük, Yasin

Material type:

TextPublication details: Berlin Peter Lang 2022Description: 83p. Includes bibliographical referencesISBN:

9783631873281

Subject(s):

Other classification:

D6,9(B) R2

Summary: This book describes the functions frequently used in deep neural networks. For this purpose, 37 activation functions are explained both mathematically and visually, and given with their LaTeX implementations due to their common use in scientific articles.

Item type:

Textbook

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Textbook	Ratan Tata Library	Ratan Tata Library			D6,9(B) R2 (Browse shelf(Opens below))					Available			RT1585227

Browsing Ratan Tata Library shelves Close shelf browser (Hides shelf browser)

Previous								Next
Previous	D6,9(B) R0 Introdution to machine learning	D6,9(B) R1 GIS and machine learning for small area classfications in developing countries	D6,9(B) R2 Introduction to online convex optimization	D6,9(B) R2 Activation Functions: Activation functions in deep learning with LaTex application	D6,9(B) R2 Patterns, predictions, and actions: Foundations of machine learning	D6,9(B) R2 Probabilistic machine learning: An introduction	D6,9(B) R3 Probabilistic Machine Learning	Next

This book describes the functions frequently used in deep neural networks. For this purpose, 37 activation functions are explained both mathematically and visually, and given with their LaTeX implementations due to their common use in scientific articles.

There are no comments on this title.

to post a comment.