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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sigrid Keydana | - |
| dc.date.accessioned | 2024-06-25T04:16:56Z | - |
| dc.date.available | 2024-06-25T04:16:56Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/10310 | - |
| dc.description.abstract | This book aims to be useful to (almost) everyone. Globally speaking, its purposes are threefold: Provide a thorough introduction to torch basics - both by carefully explaining underlying concepts and ideas, and showing enough examples for the reader to become "fluent" in torch. Again with a focus on conceptual explanation, show how to use torch in deep-learning applications, ranging from image recognition over time series prediction to audio classification. | vi |
| dc.language.iso | en | vi |
| dc.subject | Deep learning (Machine learning) | Học sâu (Học máy) | vi |
| dc.title | Deep learning and scientific computing with R torch | vi |
| dc.type | Sách/Book | vi |
| Appears in Collections | 1-Trí tuệ nhân tạo | |
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