Deep Learning For Coders With Fastai And Pytorch
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Free Size
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
9781492045526
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.
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