Keras Deep Learning for Pupil Detection Method
DOI:
https://doi.org/10.25007/ajnu.v10n4a1328Keywords:
Machine Learning, Deep Learning, MTCNN, Keras Model, AIAbstract
Nowadays, deep learning is the most common field in artificial intelligence, deep learning is a technique invented by man in order to try 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 try to extract eyes from image, finally pupil detector works by using Keras model in python. The result of this paper shows the power of deep learning field biologically comparative with human thinks.
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