Deep Learning for Coders with fastai and PyTorch

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size

18.42 x 2.54 x 23.5 cm

Product Information

Genre

Computer Science

Author Name

Jeremy Howard

About Author

I'm a data scientist, researcher, developer, educator, and entrepreneur. I am a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible, and am a Distinguished Research Scientist at the University of San Francisco, am the chair of WAMRI, and am the Chief Scientist at platform.ai.

Material

Hardcover

Ideal for

Unisex

Code

978-1492045526 (ISBN CODE)

{" of Pages":"621 pages"}

Country Of Origin

India

Product Description

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. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.

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