Back to top
Languages & Display
English
Español
Display
Merrimack College - McQuade Library
Dark Mode
Navigation
Library Home
MACKsearch
Databases
Research Guides
Interlibrary Loan
Ask a Librarian
Sign in
Your Account
Library Home Page
Library Hours & Location
Change Catalog
Help
Display Options
Languages
English
Español
Sign Out
Look for
Keyword
Title
Start of Title
Series
Author
Subject
Call Number
Advanced Search
in Library Catalog
in Online Collection
in Lists
Search
Browse
»
The principles of deep learning theory: an effective theory approach to understanding neural networks
The principles of deep learning theory: an effective theory approach to understanding neural networks
Author
Roberts, Daniel A
Publisher
Cambridge University Press
Publication Date
2022.
Language
English
Book
Show Edition
Available from another library
Where is it?
See Full Copy Details
Place Hold
Add to List
SHARE
Description
Loading Description...
NoveList
Published Reviews
Table of Contents
From the Book
Initialization
Pretraining
Neural networks
Effective theory of deep linear networks at initialization
RG flow of preactivations
Effective theory of preactivations at initializations
Bayesian learning
Gradient-based learning
RG flow of the neural tangent kernel
Effective theory of the NTK at initialization
Kernel learning
Representation learning
The end of training
Epilogue.
Excerpt
Loading Excerpt...
Author Notes
Loading Author Notes...
Subjects
Subjects
Deep learning (Machine learning)
SCIENCE / Physics / Mathematical & Computational
More Details
Contributors
Hanin, Boris
author
Yaida, Sho
author
ISBN
9781316519332
Staff View
Loading Staff View.
Loading, please wait
...