vovcick / ysda_deeplearning17

Our humble deep learning class. Using materials from https://github.com/ddtm/dl-course

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 on wednesdays at 18-00
• Telegram chat invite link

Announcements

• First lecture will happen on 8.02

Syllabus

• week1 Intro
  • Lecture: Intro
  • Seminar: Unsupervised representation learning. PCA. SparseCoding
    • HW due: 14.02.2017, 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

• Victor 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