Artificially recognise human Facial Expression

Facial Expression Recognition with Keras

Abstract : This is a machine learning project where I trained the machine with lots of images for different kinds of expressions. Here I have taken 7 categories of emotions of human beings. Those are angry, disgust, fear, neutral, sad, surprise and happy.
Then realtime images were captured and used for testing and was compared with the actual expressions. Later these test datas were also being used as training data. The accuracy rate was increasing as many images were fed to the machine.

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
Over the last couple of decades, the technological advances in storage and processing power have enabled some innovative products based on machine learning, such as Netflix’s recommendation engine and self-driving cars.

Creative . Design . Business