What are the steps that I need to follow to build a neural network for face recognition? I have developed face recognition algorithms by using pre-built libraries in Python and open CV. However, suppose if I want to make my own neural network algorithm for face recognition, what are the steps that I need to follow?
I have just seen Andrew Ng's course videos (specifically, I watched 70 videos).
My implementation to increase detection on video is using object tracking algorithms.
More specifically, first, I detect the object using a trained classifier. Then I track the object with the KCF algorithm. If the object tracker misses the object, again I call for the classifier.