Deep learning based face image analysis

Deep learning is a field of study which artificial neural networks based on the human brain consist of one hidden layers. A machine learning method is a method that predicts results with the help of data. Over time, the development of technology has increased the performance of computers. Therefore, developments in artificial intelligence applications began to be observed. Today, face recognition systems are used in every field. These systems, which have become a popular area with the developing techonology times, provide safe passages in many areas. The aim of the thesis is to create facial recognition clusters in front of the camera, identify the neutral facial expressions with a classifier, determine the emotional states of the students in the classroom with the help of Python, and try to determine the proportional change of the neutral emotinional states at the end of the lesson on the same day.