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Deep Learning and Practice with Mindspore
Paperback
Series: Cognitive Intelligence and Robotics
General ComputersProbability & Statistics
ISBN13: 9789811622359
Publisher: Springer
Published: Aug 19 2022
Pages: 394
Weight: 1.27
Height: 0.85 Width: 6.14 Depth: 9.21
Language: English
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.
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