Zefs Guide to Transformers

Zefs Guide to Transformers

About the Book

Zefs Guide to Transformers is a short, high-level guide to one of the most important recent techniques behind the current artificial intelligence revolution: Transformers. Transformers are a family of neural network architectures that were designed to handle natural language processing tasks, beating out most other methods, but have quickly spread to other areas of deep learning, including computer vision. This book covers the foundational concepts of transformers and their numerous applications in an easy to understand way. All in less than 100 pages!

Zefs Guide to Transformers is part the Zefs Guides series on deep learning and its applications. It builds on the concepts in the first book, Zefs Guide to Deep Learning. The other books in the series are:

  • Zefs Guide to Deep Learning
  • Zefs Guide to Computer Vision
  • Zefs Guide to Natural Language Processing

Zefs Guides are designed to help the beginner quickly get up to speed on topics in machine learning and data science and to help the experienced practitioner push their conceptual understanding even further. They are short and to the point, covering the most important topics and concepts. They're for you if you are a job seeker looking for a role in ML/AI/DS, a student studying for exams, an experienced data person dusting off your old knowledge, or an executive seeking a better understanding of some of today's most important technologies.

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    • Computers and Programming
    • Artificial Intelligence
    • Machine Learning
    • Computer Science
    • Data Science
    • Linguistics
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About the Author

Roy Keyes
Roy Keyes

Roy Keyes has worked in data science since 2012, building and leading teams at multiple tech startups as well as consulting for clients across a wide range of industries. Prior to data science, he received a PhD in computational physics, focusing on medical applications.

You can find his website and blog at roycoding.com.

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