Deep Learning and Practice with MindSpore (1st ed. 2021) (Cognitive Intelligence and Robotics)
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- Synopsis
- 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.
- Copyright:
- 2021
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789811622335
- Related ISBNs:
- 9789811622328
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 09/18/21
- Copyrighted By:
- Tsinghua University Press
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Translator:
- Yunhui Zeng