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▼a 1131785883
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▼a 9781789534283
▼a 1789534283
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▼a QA76.73.P98
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▼2 23
▼a Hany, John.
▼a Hands-On Generative Adversarial Networks with Pytorch 1. x:
▼b Implement Next-Generation Neural Networks to Build Powerful GAN Models Using Python.
▼a Birmingham:
▼b Packt Publishing, Limited,
▼c 2019.
▼a 1 online resource (301 pages).
▼a text
▼b txt
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▼a This book will help you understand how GANs architecture works using PyTorch. You will get familiar with the most flexible deep learning toolkit and use it to transform ideas into actual working codes. You will apply GAN models to areas like computer vision, multimedia and natural language processing using a sample-generation perspective.
▼a Print version record.
▼a Master record variable field(s) change: 082 - OCLC control number change
▼a Python.
▼a Machine learning.
▼2 fast
▼0 (OCoLC)fst01004795
▼a Natural language processing (Computer science)
▼2 fast
▼0 (OCoLC)fst01034365
▼a Neural networks (Computer science)
▼2 fast
▼0 (OCoLC)fst01036260
▼a Python (Computer program language)
▼2 fast
▼0 (OCoLC)fst01084736
▼a Electronic books.
▼a Walters, Greg.
▼i Print version:
▼a Hany, John.
▼t Hands-On Generative Adversarial Networks with Pytorch 1. x : Implement Next-Generation Neural Networks to Build Powerful GAN Models Using Python.
▼d Birmingham : Packt Publishing, Limited, ©2019,
▼z 9781789530513
▼3 EBSCOhost
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▼n 301010427
▼a EBSCOhost
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▼n 2330670
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▼a eBook
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| 자료유형 : | eBook |
|---|---|
| ISBN : | 9781789534283 |
| ISBN : | 1789534283 |
| ISBN : | |
| 개인저자 : | Hany, John. |
| 서명/저자사항 : | Hands-On Generative Adversarial Networks with Pytorch 1. x: Implement Next-Generation Neural Networks to Build Powerful GAN Models Using Python. |
| 발행사항 : | Birmingham: Packt Publishing, Limited, 2019. |
| 형태사항 : | 1 online resource (301 pages). |
| 요약 : | This book will help you understand how GANs architecture works using PyTorch. You will get familiar with the most flexible deep learning toolkit and use it to transform ideas into actual working codes. You will apply GAN models to areas like computer vision, multimedia and natural language processing using a sample-generation perspective. |
| 일반주제명 : | Python. -- |
| 일반주제명 : | Machine learning. -- |
| 일반주제명 : | Natural language processing (Computer science) -- |
| 일반주제명 : | Neural networks (Computer science) -- |
| 일반주제명 : | Python (Computer program language) -- |
| 개인저자 : | Walters, Greg. |
| 기타형태 저록 : | Print version: Hany, John. Hands-On Generative Adversarial Networks with Pytorch 1. x : Implement Next-Generation Neural Networks to Build Powerful GAN Models Using Python. Birmingham : Packt Publishing, Limited, ©2019, 9781789530513 |
| 언어 | 영어 |
| URL : |
|---|
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