YoVDO

YOLOv3 From Scratch

Offered By: Aladdin Persson via YouTube

Tags

YOLO Courses Deep Learning Courses Computer Vision Courses PyTorch Courses Object Detection Courses Loss Functions Courses

Course Description

Overview

Learn how to implement YOLOv3 from scratch using PyTorch in this comprehensive tutorial video. Dive deep into the differences between YOLOv1 and YOLOv3, explore the architecture implementation, and master dataset loading for MSCOCO and Pascal VOC. Gain hands-on experience with loss function implementation and setting up the training process. Follow along as the instructor guides you through each step, from recapping YOLO basics to finalizing the training setup. Perfect for those looking to enhance their computer vision skills and understand object detection algorithms in-depth.

Syllabus

- Introduction
- Recap of YOLO
- YOLOv3 vs YOLOv1
- Model implementation
- Dataset class
- Loss implementation
- Config file
- Training
- Ending


Taught by

Aladdin Persson

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX