Intro to DL Blended: различия между версиями

Версия от 17:31, 3 марта 2019

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:

@@ Строка 11: / Строка 11: @@
 '''Exam:'''
 In writing, theoretical questions, for instance:
-- SGD variations: Moment, RMSProp, Adam with explanation
+# SGD variations: Moment, RMSProp, Adam with explanation
-- Description of backprop and proof of its efficiency
+# Description of backprop and proof of its efficiency
-- Gradient of a dense layer in matrix notation (with proof)
+# Gradient of a dense layer in matrix notation (with proof)
-- Typical CNN architecture, purpose of each layer, how to do backprop
+# Typical CNN architecture, purpose of each layer, how to do backprop
-- Inception V3 architecture choices
+# Inception V3 architecture choices
-- Gradient of RNN cell (with proof)
+# Gradient of RNN cell (with proof)