Keras Deep Learning for Pupil Detection Method

Abstract

Nowadays, deep learning is the most common field in artificial intelligence, it is a technique invented by scientist trying to
imitate the way the human mind works. Deep learning tries to simulate the human mind in all its capabilities, which include;
Seeing, understanding speech, composing it, hearing, and other powerful abilities that our human mind possesses and is not
rivaled by anything else, or so it was. The matter did not stop at that only, but that scientists have studied the human brain and
how it works in order to design algorithms and programs capable of simulating it, and for this reason we find that these
algorithms are inspired by medical and neurological studies of humans and try as much as possible to imitate them, but by
computer methods. Not biological. In this paper studied and practiced the multi-task deep convolution neural
network(MTCNN) for face detection after detecting the faces its tries to extract eyes from an image, finally pupil detector works
by using Keras model in python. The result of this paper shows the power of the deep learning field biologically comparative
with human thinks.