(This is a preliminary schedule – it can be changed)

Day 2.07 3.07 4.07 5.07 6.07
9.00-10.30 Opening Ceremony Keynote Lecture 3
Intel Rep., Intel platforms and deep learning
(Adamski R., Intel, Poland)
Keynote Lecture 5
Clusters and deep learning
(Rad P., UTSA, USA)
Keynote lecture 7
Deep neural networks and intelligent buildings
(Manic M., Amarasinghe K., USA)
Keynote lecture 9
Deep learning for autonomous cars
(Jo K., Korea)
Keynote Lecture 1
Doing deep learning with NVIDIA
(Hinsche R., NVIDIA, Germany)
Keynote Lecture 2
Deep prosody modeling for Amazon Alexa
( Adam Nadolski, Viacheslav Klimkov, Amazon, Poland)
Keynote lecture 4
Medical image analysis using deep learning (Cygert S.,Poland)
Keynote lecture 6
DNNs in Biometrics 
(Raschka S.,USA)
Keynote lecture 8
Generative Adversarial Networks
(Maity M.,USA)
Keynote lecture 10
Deep learning image saliency detection and 3D reconstruction
(Yu H., Xiaoxu Cai, UK)
10.30-11.00 Coffee break
11.00-12.30 C1: From Linear regression to multi-layer perceptron
(Ruminski J., GUT, Poland)
C4: Deep learning based vision technology
(Jo K., Korea)
C7: Generative Models with Deep Learning
(Maity M., USA)
C10:  Deep Learning on Amazon Web Services: Apache MxNet & Gluon in Practice
(Tomasz Stachlewski, Amazon, Poland)
C13: Deep Reinforcement Learning
(Januszewski P., Poland)
12.30-14.00 Lunch
14.00-15.30 C2: Convolutional Neural
Networks with Tensorflow

(Kwasniewska A.,
GUT, Poland, Intel, USA)
C5: Image processing and CNN with TensorFlow
(YuH., Xiaoxu Cai, UK)
C8: Regularization in NNs
Transfer learning
and other useful tricks

(Raschka S., USA)
C11: Combining CNNs and RNNs for audio recognition
(Sobieraj I., Univ. of Surrey, UK)
C14: Distributed DNN training in TensorFlow
(Rościszewski P, GUT, Poland)
15.30-16.00 Coffee break
16.00-17.30 C3: Deep learning with Neon
(Szankin M., Intel, USA)
C6: Deep Learning Inference with Movidius™ Neural Compute Stick
(Each participant will receive a stick for practical experiments)
C9: Introduction to RNNs
(Draszawka K,Poland)
C12: RNNs in signal processing and in Human System Interaction
(Czuszynski K., GUT, Poland)

Closing Ceremony

Evening Meetings and Activities ISSonDL Reception and Meeting with Keynote Lecturers.
Short presentation of participants.
Pizza Party and Meeting with Keynote Lecturers.
Short presentation of participants.
HSI Reception and ISSonDL get together party Old city visit