Deep Learning Bootcamp 2018

Session

25 Sep 2018, 09:30

Seminar Top Floor (Center for Systems Biology Dresden)

Conveners

How does Deep Learning Work?: Neural Networks and Back-Propagation

• Walter de Back (TU Dresden / UKD)
• Jeffrey Kelling (HZDR)
• Sebastian Starke (HZDR)

How does Deep Learning Work?

• There are no conveners in this block

How does Deep Learning Work?

• There are no conveners in this block

Description

This block starts to discuss the mathematical details behind Deep Learning

Presentation Materials

Day3 Morning Feedback

Feedback day1 + day2 morning session

Feedback day2 afternoon session

Contribution list Timetable

18. Feed Forward Networks

Dr Walter de Back

25/09/2018, 09:30

19. Back Propagation and Stochastic Gradient Descent

Mr Kashif Rasul (Zalando Research)

25/09/2018, 11:00

23. Lightning talks

25/09/2018, 13:00

3. Convolutional Neural Networks

Mr Jeffrey Kelling (HZDR)

25/09/2018, 13:30

2. Regularization / Batch Normalization

Mr Sebastian Starke (HZDR)

26/09/2018, 09:00

1. Advanced Optimization

Mr Kashif Rasul (Zalando Research)

26/09/2018, 10:00

like RMS propagation, Adam, etc

4. CNN Architectures

Mr Kashif Rasul (Zalando Research)

26/09/2018, 11:00

20. Q & A from day 2

5. Recurrent Neural Networks

Mr Kashif Rasul (Zalando Research)