Deep_Learning_For_Coders_With_Fastai_And_Pytorch
Deep_Learning_For_Coders_With_Fastai_And_Pytorch
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Deep Learning For Coders With Fastai And Pytorch

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Product Information

Brand

Pagify


Ideal For

Reading


Material

Paper


Country Of Origin

India


Pack Of

1


Author

Jeremy Howard & Sylvain Gugger


Genre

Computer Science


Isbn

9780000000000


Page Count

624


Product Type

Book

Product Description


  • Premium Quality: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies, but as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code.

  • Product Design: Spanning 624 pages with ISBN 9781492045526, the book is structured as a practical, code-first guide that makes deep learning accessible without sacrificing depth or rigour.

  • User Experience: The guide leverages fastai, the first library to provide a consistent interface to the most frequently used deep learning applications, enabling readers to build and deploy models efficiently.

  • Versatile Occasion: Suited for software developers, data enthusiasts, and aspiring machine learning practitioners who want a hands-on path into deep learning using PyTorch and fastai.

  • Quality Assurance: Delivered as an original edition, this textbook reflects the practical, learner-focused philosophy of fastai and is a trusted resource within the global deep learning community.

  • Ideal For: Python-comfortable programmers seeking an accessible yet comprehensive entry point into deep learning, regardless of their prior mathematical or machine learning background.