INTRODUCTION TO DEEP LEARNING
| dc.contributor.author | Abbas, S. H. | |
| dc.contributor.author | Shelke, Mayura V. | |
| dc.date.accessioned | 2024-02-06T04:43:52Z | |
| dc.date.available | 2024-02-06T04:43:52Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Deep Learning is very broad and complex and to navigate this maze you need a clear and global vision of it. We represent the two fundamental branches of Deep Learning: Supervised Deep Learning and Unsupervised Deep Learning. We found that this is the best structure for mastering Deep Learning.The book is the most complete and the most up-to-date textbook on deep learning, and can be used as a reference and further-reading materials. Not all topics in the book will be covered in class. | en_US |
| dc.identifier.isbn | 978-9355159540 | |
| dc.identifier.uri | http://136.232.12.194:4000/handle/123456789/845 | |
| dc.language.iso | en | en_US |
| dc.publisher | Publisher: Book Rivers | en_US |
| dc.subject | Computer science and Engineering | en_US |
| dc.title | INTRODUCTION TO DEEP LEARNING | en_US |
| dc.type | Book | en_US |