Here is the outline of the proposed journey to understanding and implementing AI products such as the Digital View ALC-4096-AIH.
- Why edge matters
- Understanding the fundamentals
- Why hardware matters
- Introducing the Digital View AI board(s)
- Applications
- Resources
- Future vision
Links to Blogs
1. Why edge matters
2. Understanding the fundamentals
- Getting Started
- Data Discovery
- Identifying AI Opportunities
- Data Modalities
- What is Inference?
- Introduction to Training an AI Model
- 5 Stage Workflow:
1. Stage 1 - Unsupervised Learning
2. Stage 2- Labeling & Dataset Creation
3. Stage 3 - Supervised Training
4. Stage 4 - Model Optimization
5. Stage 5 - Edge Deployment
3. Why hardware matters
4. Introducing the Digital View AI board(s)
5. Applications
6. Resources
7. Future vision