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  ▼a  1131785883
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  ▼a  9781789534283

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  ▼a  1789534283

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  ▼z  9781789530513

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  ▼a  Hany, John.

• 245

  ▼a  Hands-On Generative Adversarial Networks with Pytorch 1. x:
  ▼b  Implement Next-Generation Neural Networks to Build Powerful GAN Models Using Python.

• 260

  ▼a  Birmingham:
  ▼b  Packt Publishing, Limited,
  ▼c  2019.

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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.

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  ▼a  Print version record.

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  ▼a  Master record variable field(s) change: 082 - OCLC control number change

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  ▼a  Python.

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  ▼a  Machine learning.
  ▼2  fast
  ▼0  (OCoLC)fst01004795

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  ▼a  Natural language processing (Computer science)
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  ▼0  (OCoLC)fst01034365

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  ▼a  Neural networks (Computer science)
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  ▼0  (OCoLC)fst01036260

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  ▼a  Python (Computer program language)
  ▼2  fast
  ▼0  (OCoLC)fst01084736

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  ▼a  Electronic books.

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  ▼a  Walters, Greg.

• 776

  ▼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

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  ▼3  EBSCOhost
  ▼u  http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2330670

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