To teach students the theoretical concepts on deep learning and how to implement and use them to automatically extract features from data and build prediction models for several applications. Methods covered include feedforward, convolutional, recurrent and recursive networks. 

Type of methodology: Combination of lecture and hands-on

Participants receive the certificate of attendance: No

Paid training activity for participants: Yes, for all.

Participants prerequisite knowledge: No prerequisite knowledge