It takes the average reader 10 hours and 33 minutes to read Deep Learning for Coders with fastai and PyTorch by Jeremy Howard
Assuming a reading speed of 250 words per minute. Learn more
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...
Deep Learning for Coders with fastai and PyTorch by Jeremy Howard is 624 pages long, and a total of 158,496 words.
This makes it 211% the length of the average book. It also has 194% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 14 hours and 26 minutes to read Deep Learning for Coders with fastai and PyTorch aloud.
Deep Learning for Coders with fastai and PyTorch is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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