Deep Learning and Practice with MindSpore

Lei Chen

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Springer Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Informatik

Beschreibung

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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Schlagwörter

Unsupervised Learning, Deep Learning Visualization, Deep Neural Networks (DNNs), MindSpore, Data Preparation, Automated Machine Learning, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning, Deep Reinforcement Learning, Device-Cloud Collaboration