Name:		Train NN classifying emotional charge of pictures
You will learn:		machine learning, image analysis, emotions
Difficulty:		moderate
Excitement:		Learn how to process images, understand emotions.
Description:		Neural networks are state of the art approach to classifying pictures. They can recognize whether there is a cat on the picture or follow a line on the road steering google cars. On the other hand cognitive sciences are a fast growing area. Research in emotions often requires large corpuses of emotionally annotated data. Could we train a neural network that could automatically assess the emotional charge (valence and arousal) of input photograph?
Further Reading:
How to sign up:		Information [[Bachelor and Master thesis proposals| here]] .