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PyTorch Deep Learning Hands-On [electronic resource] Apply Modern AI Techniques with CNNs, RNNs, GANs, Reinforcement Learning, and More
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | PyTorch Deep Learning Hands-On : Apply Modern AI Techniques with CNNs, RNNs, GANs, Reinforcement Learning, and More/ Sherin Thomas with Sudhanshu Passi. [electronic resource]. |
| 개인저자 | Thomas, Sherin. Passi, Sudhanshu, |
| 발행사항 | Birmingham: Packt Publishing, Limited, [2019]. |
| 형태사항 | 1 online resource (251 p.). |
| 총서사항 | Expert insight |
| 기타형태 저록 | Print version: Thomas, Sherin PyTorch Deep Learning Hands-On : Apply Modern AI Techniques with CNNs, RNNs, GANs, Reinforcement Learning, and More Birmingham : Packt Publishing, Limited,c2019 9781788834131 |
| ISBN | 1788833430 9781788833431 |
| 일반주기 |
Description based upon print version of record.
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| 요약 | Implement every major architecture of deep learning in PyTorch. Starting with simple neural networks, it covers PyTorch for computer vision (CNN), natural language (RNN), GANs, and reinforcement learning. It covers deep learning workflows, migrating models to TorchScript, and deploying to efficient production environments. |
| 일반주제명 | Python (Computer program language) Machine learning. Neural networks (Computer science) COMPUTER SCIENCE / General. Machine learning. Neural networks (Computer science) Python (Computer program language) |
| 언어 | 영어 |
| 바로가기 |  |
