Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, Bìa mềm
Thể loại:Computers - Computer Science
Năm:2020
In lần thứ:1
Ngôn ngữ:english
Trang:1028
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
Không có đánh giá!
Thêm đánh giá