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[Mobile] Deep Learning Computer Vision Practical Project

AI Artificial Intelligence, it goes without saying that mobile is the trend. But how do you learn machine learning and deep learning and use them on mobile? Now, let's learn useful mobile Computer Vision projects that are used in daily life.

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136 learners

Level Intermediate

Course period Unlimited

  • nomad
IONIC
IONIC
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
OpenCV
OpenCV
Computer Vision(CV)
Computer Vision(CV)
IONIC
IONIC
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
OpenCV
OpenCV
Computer Vision(CV)
Computer Vision(CV)

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.

Deep Learning Web Service Project 1 - Basics. Object Detect Defective Product Discrimination Please show lots of love!

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