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Programming PyTorch for Deep Learning (eBook)

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  • 54,925 Words
  • 220 Pages

Deep learning is changing everything. This machine-learning method has already surpassed traditional computer vision techniques, and the same is happening with NLP. If you're looking to bring deep learning into your domain, this practical book will bring you up to speed on key concepts using Facebook's PyTorch framework.

Once author Ian Pointer helps you set up PyTorch on a cloud-based environment, you'll learn how use the framework to create neural architectures for performing operations on images, sound, text, and other types of data. By the end of the book, you'll be able to create neural networks and train them on multiple types of data.

  • Learn how to deploy deep learning models to production
  • Explore PyTorch use cases in companies other than Facebook
  • Learn how to apply transfer learning to images
  • Apply cutting-edge NLP techniques using a model trained on Wikipedia

Deep learning is changing everything. This machine-learning method has already surpassed traditional computer vision techniques, and the same is happening with NLP. If you're looking to bring deep learning into your domain, this practical book will bring you up to speed on key concepts using Facebook's PyTorch framework.

Once author Ian Pointer helps you set up PyTorch on a cloud-based environment, you'll learn how use the framework to create neural architectures for performing operations on images, sound, text, and other types of data. By the end of the book, you'll be able to create neural networks and train them on multiple types of data.

  • Learn how to deploy deep learning models to production
  • Explore PyTorch use cases in companies other than Facebook
  • Learn how to apply transfer learning to images
  • Apply cutting-edge NLP techniques using a model trained on Wikipedia


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Programming PyTorch for Deep Learning

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by Ian Pointer

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