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.
- ISBN13 9789811622328
- Publish Date 18 August 2021
- Publish Status Active
- Publish Country SG
- Imprint Springer Verlag, Singapore
- Edition 1st ed. 2021
- Format Hardcover
- Pages 394
- Language English