Order Total (1 Item Items):
Shipping Destination:
Theoretical Basis Core Algorithms (1 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (1)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (1)
- As New, Fine or Near Fine (No further results match this refinement)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (1)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (No further results match this refinement)
- Not Print on Demand (1)
Language (1)
Price
- Any Price
- Under US$ 25 (No further results match this refinement)
- US$ 25 to US$ 50 (No further results match this refinement)
- Over US$ 50
Free Shipping
- Free Shipping to U.S.A. (No further results match this refinement)
Seller Location
Seller Rating
-
Theoretical basis and core algorithms of deep learning(Chinese Edition)
Language: English
Published by Tsinghua University Press, 2023
ISBN 10: 7302630712 ISBN 13: 9787302630715
paperback. Condition: New. Language:Chinese.Paperback.Pub Date:2023-12 Pages:406 Publisher:Tsinghua University Press: This book aims to give the main contents of the theoretical basis and core algorithms of deep learning. so as to help readers and researchers systematically grasp the theoretical structure and context. This book first introduces the relevant mathematical foundations of deep learning. mainly including three parts: linear algebra. probability theory. and information theory. Then it systematically introduc.
