Deep Learning for Coders with fastai and PyTorch
English, Jeremy Howard, Sylvain Gugger, 2020Only 2 pieces in stock at supplier
Product details
"Deep Learning for Coders with fastai and PyTorch" is a comprehensive technical book aimed at individuals interested in applying deep learning in programming. Written by experts Jeremy Howard and Sylvain Gugger, this book provides a hands-on introduction to using the fastai library and PyTorch, two powerful tools for machine learning and artificial intelligence. With 621 pages of extensive content, the book not only covers theoretical foundations but also practical applications that enable readers to realize their own AI projects without requiring extensive prior knowledge in computer science. The clear and understandable language makes it a valuable companion for both learners and professionals alike. The book is written in English and is suitable for both beginners and advanced users looking to deepen their knowledge in the field of deep learning. With a handy size of 17.8 cm in height and 23.3 cm in width, it is ideal for use in studies or for personal development.
Language | English |
Author | Jeremy Howard, Sylvain Gugger |
Number of pages | 621 |
Year | 2020 |
Item number | 35092732 |
Publisher | O'Reilly |
Category | Reference books |
Release date | 31.7.2020 |
Language | English |
Author | Jeremy Howard, Sylvain Gugger |
Year | 2020 |
Number of pages | 621 |
Year | 2020 |
CO₂-Emission | |
Climate contribution |
Height | 178 mm |
Width | 233 mm |
Weight | 1078 g |
Length | 24.10 cm |
Width | 18.30 cm |
Height | 3.90 cm |
Weight | 1.02 kg |
Compare products
Goes with
Reviews & Ratings
Warranty score
How often does a product of this brand in the «Reference books» category have a defect within the first 24 months?
Source: Digitec Galaxus- 1.Macmillan0 %
- 1.Mitp0 %
- 1.O'Reilly0 %
- 1.Orell Füssli0 %
- 1.Oxford University Press0 %
Warranty case duration
How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?
Source: Digitec Galaxus- O'ReillyNot enough data
- AnacondaNot enough data
- AristonNot enough data
- Avery Publishing GroupNot enough data
- Beck C.H.Not enough data
Unfortunately, we don't have enough data for this category yet.
Return rate
How often is a product of this brand in the «Reference books» category returned?
Source: Digitec Galaxus- 31.Carl Auer0.6 %
- 31.Hep0.6 %
- 31.O'Reilly0.6 %
- 31.Penguin Random House0.6 %
- 31.Pocket0.6 %