Deep Learning Web Service Project 1 - Basics. Object Detect Defective Product Identification
There are many projects that want to provide deep learning programs made with Python as web or mobile services. Learn the process of making Python-based deep learning codes such as TensorFlow, PyTorch, YOLO, OpenCV, and Keras into web service APIs and provide them as mobile web apps, and apply them in practice.
Deep Learning Web Service Project 1 - Basics. Object Detect Defective Product Identification
Hello, Nomad Creator students?
Now that we're used to wearing masks, it seems like COVID-19 prevention has become a part of our daily lives. I hope you're all staying healthy.
I created a new course called ' Deep Learning Web Service Project 1 - Basics. Object Detect Defective Product Identification' .
We have summarized the techniques used to service deep learning using mobile web apps used in actual artificial intelligence image recognition projects. These days, many people want to service codes made with Python, TensorFlow, Keras, YOLO, and OpenCV directly on mobile.
We'll learn step by step how to make this.
[OpenCV] Python Deep Learning Image Processing Project - Find Son Heung-min! YOLO object recognition program created in the process
[OpenCV] Python Deep Learning Image Processing Project 2 - Find the Bad Apples! Using the Custom Yolo Model Created in the Process to Identify Bad Products
This is a service that identifies objects (Object Detection) by taking pictures directly from the desktop web or mobile app. 
As a follow-up, we are also preparing a deep learning web service project that uses face recognition technology to identify faces, age, and gender and manage access.
