Autoencoder based generative models (post-conference workshop)
ABOUT WORKSHOP
In the workshop we will present quick introduction to writing neural networks in tensorflow. Then we present the idea of generaive models.
Diuring the workshop we will writing autoencoder based generative models: Variational autoencoder, Wasserstein autoencoder, Cramer wold autoencoder, Sliced Wasserstein autoencoder.
The workshop will be conducted in Polish.
AGENDA
• Introduction to artificial intelligence.
• Introduction to tensorflow.
• Introduction to generative models.
• Implementation of Autoncoder.
• Implementation of Autoncoder based generative models.
MINIMUM REQUIREMENTS
This is a BYOD (bring your own device) workshop, so remember to bring your own laptop.
• python 3.6, TensorFlow and notebook installed
• recomend to use Colab Notebook
The workshop will run for 4 hours from 9AM until 1PM. There will be a few coffee breaks.
TRAINER - PRZEMYSŁAW SPUREK
Przemysław Spurekreceived a master degree frommathematics at the Jagiellonian University, Krakow,Poland, in 2009. In 2014 he obtained his Ph.D. in computerscience at the Jagiellonian University.
Currently holds anassistant position at the Institute of Computer Science andComputational Mathematics of the Jagiellonian University and work in research group GMUM.
WORKSHOP FEE INCLUDES
- Half-day workshop
- Coffee & Tea
- Wi-Fi access
- Entrance ticket for Confitura conference (Sat, 29 June 2019)