The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Overview & Synopsis
This textbook establishes a theoretical framework for understanding deep learning models of practical relevance, provide clear and pedagogical explanations of how realistic deep neural networks actually work.
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Document Information
| Document Title | The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks |
|---|---|
| Author / Organization | Daniel A. Roberts, Sho Yaida |
| Subject & Discipline | Deep Learning and Neural Networks, Machine Learning, Artificial Intelligence |
| Categories | Deep Learning and Neural Networks |
| Publication Year | 2022 |
| ISBN | 1316519333 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | ✓ Verified Direct PDF Available |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 2636.5 KB (2,699,753 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-92590 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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