Download the fantastic book titled Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Deep Learning for Coders with fastai and PyTorch", which was released on 29 June 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Deep Learning for Coders with fastai and PyTorch by Jeremy Howard PDF
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 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 Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Detail About Deep Learning for Coders with fastai and PyTorch PDF
- Author : Jeremy Howard
- Publisher : O'Reilly Media
- Genre : Computers
- Total Pages : 624 pages
- ISBN : 1492045497
- Release Date : 29 June 2020
- PDF File Size : 28,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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