Program 2017/2018

03.05.2018, 11:00, 4.08 » NN Seminar

  • L. Marták: Optimization for Training Deep Models, Part 2

26.04.2018, 11:00, 4.08 » NN Seminar

  • L. Marták: Optimization for Training Deep Models, Part 1

19.04.2018, 11:00, 4.08 » NN Seminar

12.04.2018, 11:00, 4.08 » NN Seminar

  • M. Farkaš: Sentence representation through word modelling using definitions and word embeddings

05.04.2018, 11:00, 4.08 » NN Seminar

  • B. Vavrik: Better healthcare through neural networks

29.03.2018, 13:00, 4.08 » NN Seminar

  • V. Bachraty: TBD (Topic: image segmentation)

22.03.2018, 11:00, 4.08 » NN Seminar

  • N. Danisik: DP3 report: Processing of big data acquired by sport activity

15.03.2018, 11:00, 4.08 » NN Seminar

  • A. Hucko: BP2 report: Correction of diacritics by deep neural networks

08.03.2018, 11:00, 4.08 » NN Seminar

  • A. Rafajdus: DP3 report: Generative Adversarial Networks for Weather Forecast

01.03.2018, 11:00, 4.08 » NN Seminar

  • Z. Moravčíková: DP3 report: Automatic real-time adaptation of game mechanisms to player state with deep reinforcement learning

22.02.2018, 11:00, 4.08 » NN Seminar

  • A. Švec: DP3 report: Modeling the appropriateness of text posts

15.02.2018, 11:00, 4.08 » NN Seminar

  • P. Lacko: Reinforcement learning with Kalman Filters (theory, applications and results)

07.12.2017, 11:00, 4.08 » NN Seminar

23.11.2017, 11:00, 4.08 » NN Seminar

  • M. Pikuliak: Unsupervised Machine Translation (slides)

16.11.2017, 11:00, 4.08 » NN Seminar

  • M. Farkaš: Weather prediction with WaveNet

09.11.2017, 11:00, 4.08 » NN Seminar

  • CapsNet: A novel approach by professor G. E. Hinton (paper)
  • Talk by Siraj Raval (video)
  • Talk by Viktor Bachraty (slides)

02.11.2017, 11:00, 4.08 » NN Seminar

  • News, results, Q&A session

26.10.2017, 11:00, 4.08 » NN Seminar

  • A. Švec: DP2 report: Modeling the appropriateness of text posts

19.10.2017, 11:00, 4.08 » NN Seminar

  • V. Bachratý: Training Deep Neural Networks (slides)

12.10.2017, 11:00, 4.08 » NN Seminar

  • A. Rafajdus:
    • Introduction to Generative Adversarial Networks (slides)
    • DP2 report: Generative Adversarial Networks for Weather Forecast (slides)
  • M. Pikuliak: Introduction to MLP (slides)

05.10.2017, 11:00, 4.08 » NN Seminar

  • L. Martak: Highlights from DeepLearn2017: An international summer school (summit) on Deep Learning (Bilbao, Spain) (slides)

28.09.2017, 11:00, 4.08 » NN Seminar

  • Quick Introduction to Neural Networks (slides)
  • How to approach problems with Machine Learning

21.09.2017, 11:00, 4.08 » NN Seminar

  • Semester opening rituals
  • Welcoming newcommers

04.05.2017, 12:00, 4.08 » NN Seminar

  • Discussing of our results

27.04.2017, 08:45 – 15:30, FIIT STU » IIT.SRC 2017

13.04.2017, 12:00, 4.08 » NN Seminar

06.04.2017, 12:00, 4.08 » NN Seminar

  • P. Lacko: Introduction to Reinforcement learning
  • Housewarming of our new web site

30.03.2017, 12:00, 4.08 » NN Seminar

23.03.2017, 12:00, 4.08 » NN Seminar

16.03.2017, 12:00, 4.08 » NN Seminar

09.03.2017, 12:00, 4.08 » NN Seminar

02.03.2017, 12:00, 4.08 » NN Seminar