Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD

I. THÔNG TIN SẢN PHẨM
Mã sản phẩm : STT295
Nhà xuất bản: O'Reilly Media; 1st edition (August 25, 2020)
Tác giả :  Jeremy Howard, Sylvain Gugger
Ngôn Ngữ : Tiếng Anh
ISBN      : 1492045527
Số trang    : 621  pages
Hình thức : Bìa Mềm, IN ĐEN TRẮNG
Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao        
Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và hightlight thoải mái.
Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

II. MÔ TẢ SẢN PHẨM
1.Mô tả sản phẩm
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.

2. Tác giả
Jeremy Howard is an entrepreneur, business strategist, developer, and educator. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, a faculty member at Singularity University, and a Young Global Leader with the World Economic Forum.

Sylvain is a former teacher and a Research Scientist at fast.ai, with a focus on making deep learning more accessible by designing and improving techniques that allow models to train fast on limited resources.