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Deep Learning with PyTorch

You're reading from   Deep Learning with PyTorch A practical approach to building neural network models using PyTorch

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788624336
Length 262 pages
Edition 1st Edition
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Author (1):
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Vishnu Subramanian Vishnu Subramanian
Author Profile Icon Vishnu Subramanian
Vishnu Subramanian
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with Deep Learning Using PyTorch FREE CHAPTER 2. Building Blocks of Neural Networks 3. Diving Deep into Neural Networks 4. Fundamentals of Machine Learning 5. Deep Learning for Computer Vision 6. Deep Learning with Sequence Data and Text 7. Generative Networks 8. Modern Network Architectures 9. What Next? 10. Other Books You May Enjoy

Getting Started with Deep Learning Using PyTorch

Deep learning (DL) has revolutionized industry after industry. It was once famously described by Andrew Ng on Twitter:

Artificial Intelligence is the new electricity!

Electricity transformed countless industries; artificial intelligence (AI) will now do the same.

AI and DL are used like synonyms, but there are substantial differences between the two. Let's demystify the terminology used in the industry so that you, as a practitioner, will be able to differentiate between signal and noise.

In this chapter, we will cover the following different parts of AI:

  • AI itself and its origination
  • Machine learning in the real world
  • Applications of deep learning
  • Why deep learning now?
  • Deep learning framework: PyTorch
You have been reading a chapter from
Deep Learning with PyTorch
Published in: Feb 2018
Publisher: Packt
ISBN-13: 9781788624336
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