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Deep Learning and Practice with MindSpore /

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 neur...

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Bibliographic Details
Main Author: Chen, Lei (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Cognitive Intelligence and Robotics,
Subjects:
Machine learning.
Artificial intelligence.
Machine Learning.
Artificial Intelligence.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary: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.
Physical Description:1 online resource (XVIII, 394 pages 357 illustrations, 13 illustrations in color.)
ISBN:9789811622335
ISSN:2520-1964
DOI:10.1007/978-981-16-2233-5