杭州电子科技大学图书馆书目检索系统

Online Public Access Catalogue

题名/责任者:

Deep learning with PyTorch / Eli Stevens, Luca Antiga, and Thomas Viehmann ; foreword by Soumith Chintala.

出版发行项:

Shelter Island, NY : Manning Publications Co., [2020]

ISBN:

9781617295263 :

载体形态项:

xxviii, 490 pages : illustrations ; 24 cm

个人责任者:

Stevens, Eli, author.

附加个人名称:

Antiga, Luca, author.

附加个人名称:

Viehmann, Thomas, author.

论题主题:

Neural networks (Computer science)

论题主题:

Machine learning.

论题主题:

Artificial intelligence.

论题主题:

Python (Computer program language)

中图法分类号:

TP182

书目附注:

Includes bibliographical references and index.

摘要附注:

Deep Learning with PyTorch teaches you to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. After covering the basics, the book will take you on a journey through larger projects. The centerpiece of the book is a neural network designed for cancer detection. You'll discover ways for training networks with limited inputs and start processing data to get some results. You'll sift through the unreliable initial results and focus on how to diagnose and fix the problems in your neural network. Finally, you'll look at ways to improve your results by training with augmented data, make improvements to the model architecture, and perform other fine tuning.

豆瓣简介：