Course: Neural Networks with TensorFlow

Europe/Ljubljana
Zoom Meeting

Zoom Meeting

Description

Artificial Neural networks currently belong to the most popular and widely used algorithms for artificial intelligence and machine learning applications.

This course addresses methods of deep learning using the Python programming language. It introduces the basic models, learning algorithms, and some applications of neural networks in practice. Attendees will learn how to work with the TensorFlow library, which is currently the most popular library for designing, training and testing deep learning programs. More ...

Format: Online using Zoom and Jupyter Notebook environment.

The workshop is part of EuroCC Twinning activity between NCC Slovakia and NCC Slovenia.


Organizers

 


Lecturers

  • Marián Gall
  • Michal Hollý

Employees of the Computing Center of the Slovak Academy of Sciences, trainers and AI/ML services providers skilled in Python programming language, data analysis, machine learning and neural networks


Registration
Registration
49 / 50
SupportContact
    • 1:00 PM 2:30 PM
      Theoretical Introduction into Neural networks, Jupyter/Tensorflow environment preparation 1h 30m
      Speaker: Michal Hollý (Computing Center of the Slovak Academy of Sciences)
    • 2:30 PM 4:30 PM
      Tensorflow basics: simple models construction 2h
      Speaker: Michal Hollý (Computing Center of the Slovak Academy of Sciences)
    • 1:00 PM 2:00 PM
      Partical tensorflow examples: regression, advanced models 1h
      Speaker: Michal Gall (Computing Center of the Slovak Academy of Sciences)
    • 2:00 PM 4:30 PM
      Partical tensorflow examples: convolution neural networks, text/image processing, advanced model evalution (TensorBoard) 2h 30m
      Speaker: Michal Gall (Computing Center of the Slovak Academy of Sciences)