Deep Learning for Coders With Fastai and Pytorch

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Deep Learning for Coders With Fastai and Pytorch

Deep Learning for Coders With Fastai and Pytorch

Deep Learning for Coders With Fastai and Pytorch

Deep Learning for Coders With Fastai and Pytorch

Deep Learning for Coders With Fastai and Pytorch

Deep Learning for Coders With Fastai and Pytorch

Deep Learning for Coders With Fastai and Pytorch

Deep Learning for Coders With Fastai and Pytorch

Deep Learning for Coders With Fastai and Pytorch

Deep Learning for Coders With Fastai and Pytorch

Deep Learning for Coders With Fastai and Pytorch

Deep Learning for Coders With Fastai and Pytorch

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Deep Learning for Coders With Fastai and Pytorch

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Danh mục: Sách ngoại ngữ, Sách IT, Sách chuyên ngành, Sách Tiếng Anh quyển Lẻ
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Deep Learning for Coders With Fastai and Pytorch

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

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