Comparing linear regression and neural network in object detection
In this video, a short tutorial is presented on the application of a simple linear regression and a feedforward neural network in object detection. At the end, a comparison is also drawn between their performance. It is observed that neural network is capable of leading to a much more accurate outcome than linear regression which is one of the classical approaches that used to be utilized a lot in computer vision before neural network becomes prevalent. To access the code, use the following link:
https://github.com/mortezmaali/Object...