Name: Deep Learning Bootcamp 2018
Start: 2018-09-24T00:30:00+02:00
End: 2018-09-28T18:00:00+02:00
Location: Center for Systems Biology Dresden

Deep Learning Bootcamp 2018

from Monday, 24 September 2018 (00:30) to Friday, 28 September 2018 (18:00)
Center for Systems Biology Dresden (Seminar Top Floor)

: Sessions

: Talks

: Breaks

24 Sep 2018

25 Sep 2018

26 Sep 2018

27 Sep 2018

28 Sep 2018

09:00	What can Deep Learning Do? Continued -Mr Sebastian Starke (HZDR) Mr Jeffrey Kelling (HZDR) (until 09:30) (Seminar Top Floor)
09:00	Q & A from day 1 (Seminar Top Floor)
09:30	How does Deep Learning Work? -Mr Walter de Back (TU Dresden / UKD) Mr Jeffrey Kelling (HZDR) Mr Sebastian Starke (HZDR) (until 12:00) (Seminar Top Floor) Day3 Morning Feedback Feedback day1 + day2 morning session Feedback day2 afternoon session
09:30	Feed Forward Networks - Dr Walter de Back (Seminar Top Floor) 2018_MPI_DL_Bootcamp_NN_basics.pdf
10:30	--- Coffee Break ---
11:00	Back Propagation and Stochastic Gradient Descent - Mr Kashif Rasul (Zalando Research) (Seminar Top Floor) Back-Propagation slides

09:00	How does Deep Learning Work? (until 12:00) (Seminar Top Floor) Day3 Morning Feedback Feedback day1 + day2 morning session Feedback day2 afternoon session
09:00	Regularization / Batch Normalization - Mr Sebastian Starke (HZDR) (Seminar Top Floor) slides.pdf
10:00	Advanced Optimization - Mr Kashif Rasul (Zalando Research) (Seminar Top Floor) day3-hyperparam-opt.pdf
10:30	--- Coffee Break ---
11:00	CNN Architectures - Mr Kashif Rasul (Zalando Research) (Seminar Top Floor) day3-kashif.pdf

09:00	What else can Deep Learning Do? (until 12:00) (Seminar Top Floor) Day4 Morning Feedback
09:00	Uncertainty - Walter de Back (Seminar Top Floor)
10:00	--- Coffee Break ---
10:30	Autoencoders and GANs - Mr Jeffrey Kelling (HZDR) Mr Walter de Back (TU Dresden / UKD) (Seminar Top Floor) autoencoders-slides.pdf
11:30	Image restoration with convnets, Part 1 - Uwe Schmidt (MPI-CBG) Martin Weigert (Seminar Top Floor) day_4_regression_and_image_restoration.pdf

09:00

Hackday (until 12:00) (Seminar Top Floor)

12:30	--- Registration ---
14:00	What can Deep Learning Do? -Mr Jeffrey Kelling (HZDR) Mr Sebastian Starke (HZDR) (until 18:00) (Seminar Top Floor) slack channel
14:00	Introduction to (Deep) Machine Learning - Uwe Schmidt (MPI-CBG) (Seminar Top Floor) Artificial Intelligence ml-intro.pdf regression-demo.html
15:00	--- Coffee Break ---
15:30	Train a Cat/Dog classifier - Mr Sebastian Starke (HZDR) Mr Jeffrey Kelling (HZDR) (Seminar Top Floor)
16:30	Transfer Learning - Mr Jeffrey Kelling (HZDR) Mr Sebastian Starke (HZDR) (Seminar Top Floor)
20:00	--- Networking Dinner (self-paid) ---

12:00	--- Lunch ---
13:00	How does Deep Learning Work? (until 18:00) (Seminar Top Floor) Day3 Morning Feedback Feedback day1 + day2 morning session Feedback day2 afternoon session
13:00	Lightning talks (Seminar Top Floor)
13:30	Convolutional Neural Networks - Mr Jeffrey Kelling (HZDR) (Seminar Top Floor) slides.pdf
14:30	--- Coffee Break ---

12:00	--- Lunch ---
13:00	What else can Deep Learning Do? (until 18:00) (Seminar Top Floor) Day4 Morning Feedback
13:00	Lightning talks (Seminar Top Floor)
13:30	Recurrent Neural Networks - Mr Steffen Seitz (TU Dresden) (Seminar Top Floor) RNN_PDF.pdf
14:30	--- Coffee Break ---
15:00	Single- and Multi-Object Detection - Mr Kashif Rasul (Zalando Research) (Seminar Top Floor) day3-hyperparam-opt.pdf day3-kashif.pdf
16:00	Segmentation - Mr Walter de Back (TU Dresden / UKD) (Seminar Top Floor)

12:00	--- Lunch ---
13:00	What else can Deep Learning Do? (until 14:30) (Seminar Top Floor) Day4 Morning Feedback
13:00	Image restoration with convnets, Part 2 - Martin Weigert Uwe Schmidt (MPI-CBG) (Seminar Top Floor) tips-n-tricks.pdf
14:30	--- Change Rooms ---
15:00	Deep Learning in Industry - Peter Steinbach (until 19:00) (Seminar Top Floor)
15:00	Deep Learning in Industry (Seminar Top Floor) Event page
19:30	--- Good-bye Dinner (self-paid) ---

12:00	--- Lunch ---
13:00	Hackday (until 18:00) (Seminar Top Floor) deep learning performance