Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD by Jeremy Howard, Sylvain Gugger
Requirements: .MP3 reader, 634 MB
Overview: 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.Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.
Genre: Audiobooks > Non-Fiction
Download Instructions:
https://userupload.in/uxounocg9ilv
https://userupload.net/367adl6nv6op
https://rapidgator.net/file/c2508b11d9d3c492a15e9625d962e5bb
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Requirements: .MP3 reader, 634 MB
Overview: 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.Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.
Genre: Audiobooks > Non-Fiction
Download Instructions:
https://userupload.in/uxounocg9ilv
https://userupload.net/367adl6nv6op
https://rapidgator.net/file/c2508b11d9d3c492a15e9625d962e5bb
Trouble downloading? Read This.