Deep Learning and Practice with MindSpore (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Cognitive Intelligence and Robotics
Release date:	August 2022
First published:	2021
Authors:	Lei Chen
Translators:	Yunhui Zeng
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	394
Edition:	1st ed. 2021
ISBN-13:	978-981-16-2235-9
Languages:	English
Subtitles:	Chinese
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	981-16-2235-3
Barcode:	9789811622359

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