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Deep Learning with PyTorch Cover

Deep Learning with PyTorch

A practical approach to building neural network models using PyTorch

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|Jun 2024
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Table of Contents

  1. Getting Started with Pytorch for Deep Learning
  2. Mathematical building blocks of Neural Networks
  3. Getting Started with Neural Networks
  4. Fundamentals of Machine Learning
  5. Deep Learning for Computer Vision
  6. Natural Language Processing for PyTorch
  7. Advanced neural network architectures
  8. Generative networks
  9. Conclusion
PDF ISBN: 978-1-78862-607-1
Publisher: Packt Publishing Limited
Copyright owner: © 2018 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 262
BISAC subjects:
COM018000,
COM044000,
COM004000
Thema subjects:
UNC,
GPH,
UYQN,
UYQ

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