Introduction to Autonomous Vehicle Theory
Autonomous vehicles are on of the most exciting, up-and-coming applications of deep learning to hit the public. In this guide, you will learn about the theory behind these vehicles and the relevant ML tools leveraged to make them work.
Understanding Hough Transform With A Lane Detection Model
Paperspace contributor Nigama Vykari guides us through use of the Hough transform feature extraction technique in the context of lane detection for self-driving cars.
How to Train a Scaled-YOLOv4 Object Detection Model
In this blog, we will show an example of how to train and generalize Scaled-YOLOv4 on your custom dataset to detect custom objects.