Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1500| Title: | Deep Learning with PyTorch |
| Other Titles: | A practical approach to building neural network models using PyTorch |
| Authors: | Subramanian, Vishnu |
| Keywords: | Deep Learning with PyTorch |
| Issue Date: | Feb-2018 |
| Publisher: | Packt Publishing |
| Series/Report no.: | 1210218; |
| Abstract: | PyTorch is grabbing the attention of data science professionals and deep learning practitioners due to its flexibility and ease of use. This book introduces the fundamental building blocks of deep learning and PyTorch. It demonstrates how to solve real-world problems using a practical approach. You will also learn some of the modern architectures and techniques that are used to crack some cutting-edge research problems. |
| URI: | http://hdl.handle.net/123456789/1500 |
| ISBN: | 978-1-78862-433-6 |
| Appears in Collections: | E-Books |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Deep Learning with PyTorch.pdf | 15.79 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.