1.1: Brief history of artificial intelligence
1.2: Introduction to deep learning
Chapter 2: Industry background
2.1: Current status of the neural network processors
2.2: Neural network processor acceleration theory
2.4: Deep learning compilation framework—TVM
Chapter 3: Hardware architecture
3.1: Hardware architecture overview
3.3: Convolution acceleration principle
Chapter 4: Software architecture
4.1: Ascend AI software stack overview
4.2: Neural network software flow
Chapter 5: Programming methods
5.1: Basics of deep learning development
5.2: Techniques of Ascend AI software stack
5.3: Customized operator development