AI on Qualcomm Innovators Development Kit的视频教程

[chipseeker]

配合QIDK的开源GitHub：GitHub - quic/qidk，推出了25节免费的视频教程，内容列表如下

1）Course Introduction & Overview
2）Chapter 1a - Why On-Device AI Inference?
3）Chapter 1b - Connected Intelligent Edge and Hybrid AI
4）Chapter 1c - Qualcomm AI Engine: Benefits
5）Chapter 1d - Qualcomm Hexagon Processor Advantage
6）Chapter 1e - Qualcomm AI Engine: Hardware & Data Types
7）Chapter 1f - Qualcomm AI Stack
8）Chapter 1g - Qualcomm Neural Processing SDK: Overview & Workflow
9）Chapter 1h - Conversion, Quantization and Execution Examples
10)Chapter 2a - Introduction to QIDK
11)Chapter 2b - QIDK Tools: SNPE Docker and PySNPE
12)Chapter 2c - PySNPE: Model Deployment and Prototyping
13)Chapter 2d - QIDK Model Conversion Guide
14)Chapter 2e - Replacement and User-Defined Operators
15)Chapter 2f - QIDK Model Accuracy - Mixed Precision
16)Chapter 3a - AI Model Efficiency Toolkit (AIMET)
17)Chapter 3b - Quantization
18)Chapter 3c - AIMET Workflow
19)Chapter 3d - AIMET Benefits and Features
20)Chapter 3e - Quantization Techniques: PTQ & QAT
21)Chapter 3f - AIMET Auto-Quant and API Integration
22)Chapter 3g - AIMET Results
23)Chapter 3h - AIMET Model Zoo
24)Chapter 4a - SNPE Docker Walkthrough, Installation and Setup
25)Chapter 4b - Object Detection with YoloNas

教程链接如下 : https://qwa.qualcomm.com/course-catalog/AI-on-QIDK