Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1500Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Subramanian, Vishnu | - |
| dc.date.accessioned | 2026-07-28T06:37:35Z | - |
| dc.date.available | 2026-07-28T06:37:35Z | - |
| dc.date.issued | 2018-02 | - |
| dc.identifier.isbn | 978-1-78862-433-6 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/1500 | - |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Packt Publishing | en_US |
| dc.relation.ispartofseries | 1210218; | - |
| dc.subject | Deep Learning with PyTorch | en_US |
| dc.title | Deep Learning with PyTorch | en_US |
| dc.title.alternative | A practical approach to building neural network models using PyTorch | en_US |
| dc.type | Book | en_US |
| 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 |
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