July 2020
Intermediate to advanced
308 pages
9h 31m
English
Content preview from Ascend AI Processor Architecture and Programming
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Table of Contents
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
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