Deep Learning and Practice with MindSpore

Häftad, Engelska, 2022

AvLei Chen

2 329 kr

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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.

Produktinformation

Utgivningsdatum2022-08-19
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieCognitive Intelligence and Robotics
Antal sidor394
FörlagSpringer Verlag, Singapore
ISBN9789811622359
Originaltitel深度学习与MindSpore实践
ÖversättareZeng, Yunhui

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Artificiell intelligens inom Data och it

Chen Lei is a Chair Professor of the Department of Computer Science and Engineering and the Director of the Big Data Institute at Hong Kong University of Science and Technology (HKUST). His research focuses on data-driven AI, human-powered machine learning, knowledge graphs, and data mining on social media. He has published more than 400 papers in world-renowned journals and conference proceedings and won the 2015 SIGMOD Test of Time Award. Currently, he serves as the Editor-in-Chief of the VLDB 2019 Journal, the Associate Editor-in-Chief of the IEEE TKDE Journal, and an executive member of the VLDB Endowment. He is also IEEE Fellow and ACM Distinguished Scientist.

Chapter 1. Introduction.- Chapter 2. Deep Learning Basics.- Chapter 3. DNN.- Chapter 4. Training of DNNs.- Chapter 5. Convolutional Neural Network.- Chapter 6. RNN.- Chapter 7. Unsupervised Learning: Word Vector.- Chapter 8. Unsupervised Learning: Graph Vector.- Chapter 9. Unsupervised Learning: Deep Generative Model.- Chapter 10. Deep Reinforcement Learning.- Chapter 11. Automated Machine Learning.- Chapter 12. Device-Cloud Collaboration.- Chapter 13. Deep Learning Visualization.- Chapter 14. Data Preparation for Deep Learning.