Intro to DL Blended 2020

Course program:

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

Grading:

Final grade = 50% online course + 20% test + 30% homework

Оценки:

Additional project:

Homework with Kaggle competition: https://docs.google.com/document/d/1kTMYq21UFqZOqftjKAPq8G7RRkO7kX3MomsVIVhW830/edit?usp=sharing

Release date:

Deadline:

Exam:

In writing, theoretical questions, for instance:

SGD variations: Moment, RMSProp, Adam with explanation Description of backprop and proof of its efficiency (линейное время работы) 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 Description of auto-encoder, application to images Gradient of RNN cell (with proof) Семинары:

1. Keras Tutorial https://colab.research.google.com/drive/1HoEsK580KAzMGuvFyYwUFdnRzuZ_hC13