Learning OpenAI Codex through Projects - From Basics to Advanced Vibe Coding Using AI
AISchool
Non-Majors Welcome: Real-World Vibe Coding Projects Created Through Conversations with AI
Beginner
Business Productivity, openai, codex
This course teaches you how to perform Object Detection using the latest high-performance deep learning model using the TensorFlow Object Detection API through simple Colab exercises, and learns the principles of the latest deep learning Object Detection models.
309 learners
Level Basic
Course period Unlimited


Reviews from Early Learners
5.0
forever
The practical examples that I can use right away were very helpful. I think I will be able to apply what I learned in the lecture to detect various objects. Thank you for making such a great lecture!
5.0
andyjiy1
I always enjoy your great lectures. I look forward to the future. Please send me the lecture notes. andyjiy1@naver.com
5.0
Jiwon Jung
The practical examples using Colab were very helpful. Also, thanks to the detailed explanations, I was able to clearly understand the contents that I had vaguely known, such as the Faster RCNN model. I recommend this to those who want to apply Object Detection to their work right away!
How to use TensorFlow Object Detection API
How to use TensorFlow Detection Model ZOO
How to perform Object Detection using the latest high-performance deep learning model
With the latest high-performance deep learning models from TensorFlow
Learn how to perform Object Detection 😊
Who is this course right for?
Anyone who wants to perform Object Detection using the latest high-performance deep learning model
Anyone who wants to use the TensorFlow Object Detection API
Those preparing for graduate school in artificial intelligence (AI)
Anyone who wants to conduct research related to artificial intelligence/deep learning
Anyone who wants to get a job as an artificial intelligence/computer vision engineer
Need to know before starting?
Basic Python experience
10,270
Learners
865
Reviews
362
Answers
4.6
Rating
32
Courses
All
24 lectures ∙ (5hr 7min)
All
33 reviews
4.8
33 reviews
Reviews 1
∙
Average Rating 5.0
5
I'm taking the class diligently! Please send the lecture materials to gpqls9896@gmail.com!
Hello. Thank you for taking the time to take the class~!. I will try my best to create more satisfactory lectures. Have a nice day!
Reviews 5
∙
Average Rating 5.0
5
The practical examples using Colab were very helpful. Also, thanks to the detailed explanations, I was able to clearly understand the contents that I had vaguely known, such as the Faster RCNN model. I recommend this to those who want to apply Object Detection to their work right away!
Thank you~. We plan to open various lectures in the future, so please look forward to it~. Have a nice day:)
Reviews 6
∙
Average Rating 5.0
5
I was able to learn Object Detection APIs that are easy to use. It was good to learn advanced codes that can be used in actual projects, and the theoretical parts were explained in detail, making it easy to understand.
Thank you~. We plan to open various lectures in the future, so please look forward to it~. Have a nice day:)
Reviews 2
∙
Average Rating 5.0
5
The practical examples that I can use right away were very helpful. I think I will be able to apply what I learned in the lecture to detect various objects. Thank you for making such a great lecture!
Hello. Thank you for taking the time to take the class~!. Thank you for the detailed course review~. I will try my best to create a more satisfactory course. Have a nice day!
Please send me the lecture notes vctor@naver.com
Reviews 8
∙
Average Rating 5.0
5
I always enjoy your great lectures. I look forward to the future. Please send me the lecture notes. andyjiy1@naver.com
Hello. Thank you for taking the time to take the class~!. I will try my best to create more satisfactory lectures. Have a nice day!
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