Deep learning bootcamp @ Max Planck Institute

Center for Systems Biology Dresden (CSDB), Max Planck Institute for Molecular Cell Biology and Genetics (MPI-CBG), Pfotenhauerstrasse 108, Dresden, Germany

This hands-on course will take you from 0 to 100 in Deep Learning with Keras. Our aim is to teach the fundamentals of deep learning with Convolutional Neural Networks (CNN) based on modern techniques using the Keras API and the Tensorflow backend. By the end participants will know how to build deep learning models, how to train them, what to avoid during training, what to check during training and how to perform model inference, especially for image based problems. We hope participants will then go out and apply these methods to their own problems and use cases.

The core curriculum is planned from Monday (September 24) to Friday afternoon (September 28) to take place at the MPI CBG campus, Pfotenhauerstrasse 108, Dresden, Germany. As the agenda is currently being prepared please check-in from time to time. All participants are expected to bring their laptop. During the workshop, a uniform access to GPU-enabled workstations or servers will be provided that hold the software stack used. Thus, your laptop is not required to hold a mobile GPU or alike.

All participants are expected to have a solid understanding of fundamentals of linear algebra as well as programming. The workshop admission fee amounts to € 250 per participant. Every successfull applicant is required to bring a poster to the workshop that describes their current scientific challenge that they would like to solve with Deep Learning. Posters have to be sent in 1 week prior to the workshop.

This year, we are happy to have the following individuals as instructors:

  • Walter de Back (TU Dresden, Universitätsklinikum Dresden)
  • Jeffrey Kelling (HZDR)
  • Thomas Neumann (HTW Dresden)
  • Kashif Rasul (Zalando Research)
  • Uwe Schmidt (MPI CBG)
  • Steffen Seitz (TU Dresden)
  • Sebastian Starke (HZDR)
  • Martin Weigert (MPI CBG)