Keras, the complete conquest of the common language of artificial intelligence
This is a comprehensive course on Keras theory and practice that uses Keras and Python, the common language of artificial intelligence, to learn various useful machine learning regression, classification, and deep learning neural network projects along with theory.
203 learners
Level Intermediate
Course period Unlimited
Introducing a new lecture! [OpenCV] Python Deep Learning Image Processing Project - Find Son Heung-min!
Learn machine learning and deep learning
How can we use it in practice?
If deep learning could find Son Heung-min in a video
Wouldn't it be fun? ⚽️🏃🏻
OpenCV and deep learning in the field of computer vision
Learn how to use it and see examples.
🗒 Course Introduction
While it is important to build a theoretical foundation while learning and teaching artificial intelligence, machine learning, and deep learning, I thought it was also important to develop the ability to apply it in practice.
So, I started preparing a project in the field of Computer Vision, a representative field that uses artificial intelligence, machine learning, and deep learning.
By utilizing OpenCV, a representative image and video processing software library, dnn, a deep learning module, and various techniques and modules
🎥 Learn the basics of image and video editing
👀 Identify faces, eyes and various objects
🙋🏻♂️ Find the person you want through learning in images and videos
The lectures are structured so that you can learn fun tasks step by step along with the theory.
After completing the course, you will dream of various Computer Vision Deep Learning projects.
While I was creating the course, I had the idea of creating various ideas such as intrusion detection, drowsiness prevention, number or letter recognition, emotion identification, age and gender recognition, etc.
🌈 Project Introduction
First, we should learn about techniques for handling images and videos, right?
Before fully utilizing deep learning, we will learn the core techniques of OpenCV step by step.
Now, let's try to identify faces and eyes (Face, Eye Detection) in images and videos.
OpenCV, Haar, and deep learning will help us.
The latest Computer Vision technology recognizes people in images and videos (Face Recognition).
Learn and use facial recognition technology that appears in movies and news.
It can not only recognize faces (Face Recognition), but also find various objects (Object Recognition).
YOLO and its friends find objects in images and videos.
