A step-by-step tutorial on a basic object detection using neural network.
In this video, a very basic problem of object detection using a simple feedforward neural network is presented. The coding is done in TensorFlow and images that are used for this problem contain a rectangle of random size in a random place in the image. The network is trained to learn to tell the location of the rectangle and how big it is. All the aspects of the problem is extensively explained, including how the rectangles are synthesized and how the network is coded and how it works. To access the code, use the following link:
https://github.com/mortezmaali/Object...