Name: PT. Cerdas Inovasi Digital
Address: Jl. Magelang KM 7,5, Mlati, Sleman, Daerah Istimewa Yogyakarta, ID
Telephone: +6281252227510

•Session 1 (1.5 hrs): Introduction to Python YOLO ~ Combining YOLO and Generative Adversarial Network (GAN) for Improved Object Detection Accuracy in Constrained Areas N: history, use, and industry scope
•Session 2 (1.5 hrs): Installation & Initial Configuration of Python YOLO ~ Combining YOLO and Generative Adversarial Network (GAN) for Improved Object Detection Accuracy in Constrained Areas N
•Session 3 (1.5 hrs): Getting to Know the Interface and Basic Navigation
•Session 4 (1.5 hrs): Preference Setup & Efficient Workspace
•Session 5 (1.5 hrs): Tools & Main Menu: Functions and Basic Usage
•Session 6 (1.5 hrs): Basic Practice: Creating the First Project
•Session 7 (1.5 hrs): Import & Export Basic Files in Python YOLO ~ Combining YOLO and Generative Adversarial Network (GAN) for Improved Object Detection Accuracy in Constrained Areas N
•Session 8 (1.5 hrs): Basic Techniques for File Storage & Project Management
•Session 9 (1.5 hrs): Simple Case Study: Python YOLO Application ~ Combining YOLO and Generative Adversarial Network (GAN) for Improved Object Detection Accuracy in Constrained Areas N in the Workplace
•Session 10 (1.5 hrs): Review basic material & understanding quiz

Course/Training Python YOLO — Combining YOLO and Generative Adversarial Networks

Syllabus