Learning Resources
On this page and subsequent sub-pages you will find a number of engineering sourced resources to help you with your artificial intelligence development using the Qualcomm® Neural Processing SDK. The topics included are as follows:
- Artificial Intelligence, Machine Learning, Android and the Qualcomm Neural Processing SDK for AI
- Developing Apps with the Qualcomm Neural Processing SDK for AI
- Training and testing machine learning models
- Image Segmentation using DeepLab-v3 and Qualcomm Neural Processing SDK for AI
- CNN Architectures
- Vision based AI use cases
Artificial Intelligence, Machine Learning, Android and the Qualcomm Neural Processing SDK for AI
- Types of machine learning
- Data collection and pre-processing techniques
- Introduction to the Qualcomm Neural Processing SDK for AI and its components
- Benchmarking the Qualcomm Neural Processing SDK for AI vs. TensorFlow on Android
- Bringing up Caffe and TensorFlow frameworks on the Qualcomm Neural Processing SDK for AI
- Setting up the project using the Android Studio IDE and required SDKs
Developing Apps with the Qualcomm Neural Processing SDK for AI
- Working with Machine Learning Models in the Qualcomm Neural Processing SDK for AI
- Tuning and Optimizing Machine Learning Models
- Developing an Android App with a Snapdragon® HDK
- Streaming Live Frames to a Machine Learning Model with the Qualcomm Neural Processing SDK for AI
Training and testing ML models
- Functional testing of Machine Learning Models
- Training, Testing and Evaluating Machine Learning Models
Image Segmentation using DeepLab-v3 and Qualcomm Neural Processing SDK for AI
- Classification, Object Detection and Image Segmentation
- DeepLab-v3 using Qualcomm Neural Processing SDK for AI on Ubuntu
- DeepLab-v3 using Qualcomm Neural Processing SDK for AI on Android
CNN Architectures
- Deep Learning and Convolutional Neural Networks for Computer Vision
- Computer Vision CNN Architectures
- Advanced Computer Vision CNN Architectures
Vision-based AI Use Cases
- Real-time Facial Detection and Validation
- Functional Testing of Vision-based ML Applications
- Facial Keypoint Detection
- Facial Expression Recognition — Part 1: Solution Pipeline on Ubuntu
- Facial Expression Recognition — Part 2: Solution Pipeline on Android