[OpenCV] Python Deep Learning Image Processing Project 2 - Find the Bad Apples!
You will learn how to process images and videos with OpenCV, and how to identify and recognize faces and various objects using deep learning. This is a course where you will learn fun projects such as drowsiness prevention, age and gender identification, counting the number of people passing by, face tracking, and YOLO that finds bad apples and tangerines, along with theories.
458 learners
Level Intermediate
Course period Unlimited
Have a happy and rewarding Chuseok!
Hello, Nomad Creator students?
every Stay healthy Rich Chuseok Holiday Please send it I hope so.
As I work on an artificial intelligence deep learning project these days, the knowledge I've shared while studying over the past two years has been of great help.
However, on the other hand, I also feel like I want to organize the past lectures more systematically in this rapidly changing environment.
So I took courage and decided to create two e-books by combining the contents of existing online lectures and the latest knowledge I have newly acquired.
It is currently being funded on Wadiiz.
We will continue to work hard to provide assistance to those who have taken related courses or are interested in them.
We ask for your continued support and encouragement.
The first book is 'Easy for Developers to Learn! From Data Science to Machine Learning'.
From Python data visualization to complete mastery of TensorFlow machine learning, to Keras, the common language of artificial intelligence
Kaggle Boston Marathon data analysis and useful content on the theory and practice of machine learning
We've collected them all into an e-book that you can keep for a lifetime.
If you would like to support us, please click here!
The second book is 'Machine Learning, Deep Learning Computer Vision Mastery by Experts'.
[OpenCV] Python deep learning image processing project, [Mobile][Raspberry Pi IoT] deep learning project, etc.
We are gathering all the knowledge from various field projects and putting it into a book.
We hope for your continued interest and support.
If you would like to support us, please click here!
I hope you have a nice holiday and that all your wishes come true.
We will continue to strive to share useful knowledge in the future.
thank you