v-mk-s / dl-course

DL Course Materials

Deep Learning course

Lecture and seminar materials for each week are in ./Seminar* folders

Instant dive-in button: (servers may be down time to time, sry)

Coordinates

• YSDA every wednesday at 18-00
• Skoltech TBA

Announcements

• First lecture will happen on 8.02 -- or will it?

Syllabus

• week1 lecturename
  • Lecture: Intro
  • Seminar: Unsupervised feature learning on faces dataset
    • HW due: xx.yy.zz, 23:59.
  • Please get bleeding edge theano+lasagne installed for the next seminar.
    • Issue
    • Linux Guidelines

Contributors & course staff

Course materials and teaching performed by

• Viktor Lempitsky
• Dmitry Ulyanov - seminars, homeworks
• Vadim Lebedev - seminars, homeworks
• Victor Yurchenko - seminars, homeworks
• Just Heuristic - seminars, homeworks

Contributors:

• Oleg Vasilev - a lot of miscelaneous improvements
• Arseniy Ashukha - image captioning, notes
• Mikhail Khalman - variational autoencoders, notes