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000000587980
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190518s2019 enk o 000a engd
▼a 1788833430
▼q electronic book
▼a 9781788833431
▼q electronic book
▼a 2116433
▼b (N$T)
▼a (OCoLC)1101043781
▼a EBLCP
▼b eng
▼c EBLCP
▼d UKAHL
▼d MERUC
▼d N$T
▼d 248023
▼d OCLCF
▼d YDXIT
▼e rda
▼a MAIN
▼a QA76.73.P98
▼b P98 2019
▼a 005.133
▼2 23
▼a Thomas, Sherin.
▼a PyTorch Deep Learning Hands-On
▼h [electronic resource]:
▼b Apply Modern AI Techniques with CNNs, RNNs, GANs, Reinforcement Learning, and More/
▼d Sherin Thomas with Sudhanshu Passi.
▼a Birmingham:
▼b Packt Publishing, Limited,
▼c [2019].
▼a 1 online resource (251 p.).
▼a text
▼b txt
▼2 rdacontent
▼a computer
▼b c
▼2 rdamedia
▼a online resource
▼b cr
▼2 rdacarrier
▼a Expert insight
▼a Description based upon print version of record.
▼a 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.
▼a Description based on online resource; title from digital title page (viewed on July 19, 2019).
▼a Python (Computer program language)
▼a Machine learning.
▼a Neural networks (Computer science)
▼a Passi, Sudhanshu.
▼i Print version:
▼a Thomas, Sherin
▼t PyTorch Deep Learning Hands-On : Apply Modern AI Techniques with CNNs, RNNs, GANs, Reinforcement Learning, and More.
▼d Birmingham : Packt Publishing, Limited,c2019,
▼z 9781788834131
▼a Expert insight.
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2116433
▼a 강리원
▼a eBook
| 자료유형 : | eBook |
|---|---|
| ISBN : | 1788833430 |
| ISBN : | 9781788833431 |
| 개인저자 : | Thomas, Sherin. |
| 서명/저자사항 : | PyTorch Deep Learning Hands-On [electronic resource]: Apply Modern AI Techniques with CNNs, RNNs, GANs, Reinforcement Learning, and More/ Sherin Thomas with Sudhanshu Passi. |
| 발행사항 : | Birmingham: Packt Publishing, Limited, [2019]. |
| 형태사항 : | 1 online resource (251 p.). |
| 총서사항 : | Expert insight |
| 일반주기 : | Description based upon print version of record. |
| 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) -- |
| 일반주제명 : | Machine learning. -- |
| 일반주제명 : | Neural networks (Computer science) -- |
| 개인저자 : | Passi, Sudhanshu. |
| 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 |
| 언어 | 영어 |
| URL : |
|---|
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