edge-computer-vision
Edge Computer Vision Course
Edge Computer Vision Course
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Lesson 1: Introduction to Applied Computer Vision
- Overview of Syllabus (30 min)
- Lecture: Computing Trends supporting applied Computer Vision (60 min)
Lesson 2: Emerging Computer Vision Technologies
Lesson 3: AI Computer Vision APIs
[Project Week]
Lesson 4: AutoML Computer Vision
Lesson 5: Running Computer Vision ML models on the Edge
Lesson 6: Final Presentations
Additional Resources
GPU References
Visualization
AutoML
Additional Related Topics from Noah Gift
His most recent books are:
- Pragmatic A.I.: An introduction to Cloud-Based Machine Learning (Pearson, 2018)
- Python for DevOps (O’Reilly, 2020).
His most recent video courses are:
- Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)
- AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)
- Python for Data Science Complete Video Course Video Training (Pearson, 2019)
- AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)
- Building A.I. Applications on Google Cloud Platform (Pearson, 2019)
- Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)
- Data Engineering with Python and AWS Lambda (Pearson, 2019)
His most recent online courses are: