Intro to DL Blended

Course program: https://www.hse.ru/data/2018/06/05/1150113338/program-2129241367-JndYcQjSAq.pdf

Grading: Cumulative grade = 80% online course + 20% additional project Final grade = 75% cumulative grade + 25% final exam

Additional project: Homework with Kaggle competition

Exam: In writing, theoretical questions, for instance: - SGD variations: Moment, RMSProp, Adam with explanation - Description of backprop and proof of its efficiency - Gradient of a dense layer in matrix notation (with proof) - Typical CNN architecture, purpose of each layer, how to do backprop - Inception V3 architecture choices - Gradient of RNN cell (with proof)