Mathematical Engineering of Deep Learning
Overview & Synopsis
This book provides a complete and concise overview of deep learning using the language of mathematics - a self-contained background on machine learning and optimization algorithms and progresses through the key ideas of deep learning.
Indexed from repository: FreeComputerBooks.com
(
freecomputerbooks.com)
Document Information
| Document Title | Mathematical Engineering of Deep Learning |
|---|---|
| Author / Organization | Benoit Liquet, Sarat Moka and Yoni Nazarathy |
| Subject & Discipline | Deep Learning, Neural Networks, Linear and Matrix Algebra, Calculus and Mathematical Analysis, Statistics, Probability and Stochastic Processes |
| Categories | Deep Learning |
| Publication Year | 2024 |
| ISBN | 978-1032288284 |
| Resource Verification | External Reading Page / Repository |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-268914 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
Commercial / Print Edition
Prefer a Physical Book or Kindle Edition?
Mathematical Engineering of Deep Learning • Print Edition
As an Amazon Associate, MainReads earns from qualifying purchases.