Download PDF Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
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
Free downloading ebooks pdf Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD in English 9781492045526
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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Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD. 246. Python Machine Learning: Machine Learning
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Deep Learning For Coders With Fastai And Pytorch Ai Applications Without A Phd By Sylvain Gugger Jeremy Howard fastai practical deep learning for coders
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Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD by Jeremy. Deep learning is often viewed as the exclusive domain of math
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By Sylvain Gugger: Deep Learning For Coders With Fastai
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fast.ai · Making neural nets uncool again
Today, we are making this course, Practical Deep Learning for Coders 2018, generally of interactive notebooks, and is now available for free (with no ads) at course.fast.ai. The new course is built on top of Pytorch, and uses a new library (called fastai) that we International Fellowship applications for Part 2 now open.
Deep Learning for Coders With Fastai and PyTorch : Jeremy
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fast.ai releases new deep learning course, four libraries, and
Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD: A book from O'Reilly, which covers the same material as the
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Deep Learning for Coders with fastai and PyTorch : AI Applications Without a PhD. 4.56 (41 ratings by Goodreads). Paperback; English.
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