https://github.com/noahgift/edge-computer-vision
Edge Computer Vision Course
https://github.com/noahgift/edge-computer-vision
colab computer course gpu learning machine machinelearning-python python vision
Last synced: 2 months ago
JSON representation
Edge Computer Vision Course
- Host: GitHub
- URL: https://github.com/noahgift/edge-computer-vision
- Owner: noahgift
- License: other
- Created: 2019-12-13T17:13:12.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2025-01-10T22:58:42.000Z (3 months ago)
- Last Synced: 2025-01-27T23:42:03.638Z (3 months ago)
- Topics: colab, computer, course, gpu, learning, machine, machinelearning-python, python, vision
- Language: Jupyter Notebook
- Homepage: https://noahgift.github.io/edge-computer-vision/
- Size: 2.76 MB
- Stars: 45
- Watchers: 6
- Forks: 18
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: license.md
Awesome Lists containing this project
README
# Edge Computer Vision Course
## 🎓 Pragmatic AI Labs | Join 1M+ ML Engineers
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## Github Actions
## Build Status
[](https://circleci.com/gh/noahgift/edge-computer-vision)
## Lesson 1: Introduction to Applied Computer Vision
* Overview of Syllabus (30 min)
* [Lecture: Computing Trends supporting applied Computer Vision (60 min)](https://github.com/noahgift/edge-computer-vision/blob/master/computer_vision_lecture_1.ipynb)
## Lesson 2: Emerging Computer Vision Technologies
* [Lecture: Emerging Computer Vision Technologies](https://github.com/noahgift/edge-computer-vision/blob/master/computer_vision_lecture2.ipynb)
## Lesson 3: AI Computer Vision APIs
* [Lecture: Computer Vision APIs](https://github.com/noahgift/edge-computer-vision/blob/master/computer_vision_lecture3.ipynb)
## [Project Week]
## Lesson 4: AutoML Computer Vision
* [Lecture: AutoML](https://github.com/noahgift/edge-computer-vision/blob/master/computer_vision_lecture4.ipynb)
* [Ludwig example](https://uber.github.io/ludwig/examples/)
* [AutoML Tutorial GCP](https://cloud.google.com/vision/automl/docs/tutorial)
## Lesson 5: Running Computer Vision ML models on the Edge
* [Lecture: Edge Computer Vision](https://github.com/noahgift/edge-computer-vision/blob/master/computer_vision_lecture5.ipynb)
## Lesson 6: Final Presentations
## Additional Resources
### GPU References
* [NVidia Cuda](https://docs.nvidia.com/cuda/cuda-quick-start-guide/index.html#linux)
### Visualization
* [Streamlit](https://www.streamlit.io/)
### AutoML
* [Apple Create ML](https://developer.apple.com/documentation/createml)
### Additional Related Topics from Noah Gift
His most recent books are:
* [Pragmatic A.I.: An introduction to Cloud-Based Machine Learning (Pearson, 2018)](https://www.amazon.com/Pragmatic-AI-Introduction-Cloud-Based-Analytics/dp/0134863860)
* [Python for DevOps (O'Reilly, 2020)](https://www.amazon.com/Python-DevOps-Ruthlessly-Effective-Automation/dp/149205769X).
His most recent video courses are:
* [Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)](https://learning.oreilly.com/videos/essential-machine-learning/9780135261118)
* [AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)](https://learning.oreilly.com/videos/aws-certified-machine/9780135556597)
* [Python for Data Science Complete Video Course Video Training (Pearson, 2019)](https://learning.oreilly.com/videos/python-for-data/9780135687253)
* [AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)](https://learning.oreilly.com/videos/aws-certified-big/9780135772324)
* [Building A.I. Applications on Google Cloud Platform (Pearson, 2019)](https://learning.oreilly.com/videos/building-ai-applications/9780135973462)
* [Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)](https://learning.oreilly.com/videos/pragmatic-ai-and/9780136554714)
* [Data Engineering with Python and AWS Lambda (Pearson, 2019)](https://learning.oreilly.com/videos/data-engineering-with/9780135964330)
His most recent online courses are:
* [Microservices with this Udacity DevOps Nanodegree (Udacity, 2019)](https://www.udacity.com/course/cloud-dev-ops-nanodegree--nd9991)
* [Command Line Automation in Python (DataCamp, 2019)](https://www.datacamp.com/instructors/ndgift)
* [AWS Certified Cloud Practitioner 2020-Real World & Pragmatic](https://www.udemy.com/course/aws-certified-cloud-practitioner-2020-real-world-pragmatic/?referralCode=CAC679A7D08212773428)