Deep Learning and Practice With Mindspore

Chen, Lei/ Yunhui, Zeng (Translator)

ISBN 10: 9811622329 / ISBN 13: 9789811622328

Published by Springer-Nature New York Inc, 2021

About this Item

412 pages. 9.25x6.10x0.94 inches. In Stock.

Seller Inventory # x-9811622329

Bibliographic Details

• Title: Deep Learning and Practice With Mindspore
• Publisher: Springer-Nature New York Inc
• Publication Date: 2021
• Language: English
• ISBN 10: 9811622329
• ISBN 13: 9789811622328
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.75 kilograms

About this title

Synopsis

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), unsupervised learning, deep reinforcement learning, automated machine learning, device-cloud collaboration, deep learning visualization, and data preparation for deep learning. To help clarify the complex topics discussed, this book includes numerous examples and links to online resources.

About the Author

Chen Lei is a Chair Professor of the Department of Computer Science and Engineering and the Director of the Big Data Institute at Hong Kong University of Science and Technology (HKUST). His research focuses on data-driven AI, human-powered machine learning, knowledge graphs, and data mining on social media. He has published more than 400 papers in world-renowned journals and conference proceedings and won the 2015 SIGMOD Test of Time Award. Currently, he serves as the Editor-in-Chief of the VLDB 2019 Journal, the Associate Editor-in-Chief of the IEEE TKDE Journal, and an executive member of the VLDB Endowment. He is also IEEE Fellow and ACM Distinguished Scientist.