Deep Learning, 1e
This book covers the basic concepts in deep learning, deep learning architectures, including recurrent neural networks as well as such recent developments as generative adversarial networks.
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Deep Learning, 1e
This book is intended to help readers understand the concepts first and then move-on to hone their programming skills to become deep learning practitioners in the true sense. It covers the basic concepts in deep learning, deep learning architectures, including recurrent neural networks as well as such recent developments as generative adversarial networks. Fundamentals of neural networks as well as training deep neural networks is also included. The book is a must-have for students who are looking for a complete reference text on deep learning as well as industry practitioners from diverse fields who want to start their journey in the field of data science.
| Book | |
|---|---|
| Author | Das |
| Pages | 548 |
| Year | 2021 |
| ISBN | 9789354493874 |
| Publisher | Pearson |
| Language | English |
| Uncategorized | |
| Edition | 1/e |
| Weight | 660 g |
| Dimensions | 20.3 x 25.4 x 4.7 cm |
| Binding | Paperback |