[Kindle] Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD download
Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD. Jeremy Howard, Sylvain Gugger
Deep-Learning-for-Coders.pdf
ISBN: 9781492045526 | 582 pages | 15 Mb
- Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
- Jeremy Howard, Sylvain Gugger
- Page: 582
- Format: pdf, ePub, fb2, mobi
- ISBN: 9781492045526
- Publisher: O'Reilly Media, Incorporated
Download book pdf for free Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD by Jeremy Howard, Sylvain Gugger
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 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. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work
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Interview with Jeremy Howard Fast.ai AI Application without a PhD Deep Learning for Coders with Fastai and PyTorch: AI Applications
fast.ai · Making neural nets uncool again
Software: fastai for PyTorch; Book: Practical Deep Learning for Coders with fastai applications and to use cutting edge algorithms and tools, including PyTorch, I love math (I even have a math PhD!), but when I'm trying to solve a practical In STEM, code is the language of creativity, and without knowing how to code,
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