Frank & Eileen

Deep Learning for Coders with fastai and PyTorch: AI Applications Without a...

Description: Paperback book in a good condition - see photos. From a smoke-free home. Please see our other listings as always happy to combine postage (UK only).International buyers very welcome through eBay's Global Shipping Programme (GSP). We always try to price our books competitively taking into account their condition but if you feel that we are not being competitive, please feel free to send a sensible offer and we will always consider it by reviewing it against all those for sale elsewhere. We post books packaged very well, so protected with bubble and/or card and wrapped in strong brown paper. We post the next working day or same day if purchased before 9am. Please do view our feedback. We check our books thoroughly and try to describe them accurately and with lots of photographs so that you are able to see the quality of the book and any imperfections if there are any. If you receive a book and feel that it is not as described please do email us straight away so that we can investigate. Enjoy your book! Jools & Cole

Price: 32.99 GBP

Location: Milton Keynes

End Time: 2024-11-18T13:02:48.000Z

Shipping Cost: 30.23 GBP

Product Images

Deep Learning for Coders with fastai and PyTorch: AI Applications Without a...Deep Learning for Coders with fastai and PyTorch: AI Applications Without a...Deep Learning for Coders with fastai and PyTorch: AI Applications Without a...Deep Learning for Coders with fastai and PyTorch: AI Applications Without a...Deep Learning for Coders with fastai and PyTorch: AI Applications Without a...

Item Specifics

Returns Accepted: ReturnsNotAccepted

Item Height: 233 mm

Item Width: 178 mm

Author: Jeremy Howard, Sylvain Gugger

Publication Name: Deep Learning for Coders with Fastai and Pytorch: Ai Applications without a Phd

Format: Paperback

Language: English

Publisher: O'reilly Media, INC International Concepts USA

Subject: Computer Science

Publication Year: 2020

Type: Textbook

Number of Pages: 350 Pages

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