Skip to content
master
Switch branches/tags
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

README.md

Application of Computational Intelligence Methods

Introduction of modern computational intelligence methods (evolutionary algorithms, machine learning and related fields) and their application to solving of real problems. Basic knowledge of machine learning, neural networks and evolutionary algorithms is required.

Teach advanced methods combining evolutionary algorithms, neural networks, and other computational intelligence methods. Deepen the knowledge from the introductory courses on neural networks, machine learning, data mining and evolutionary algorithms. The seminar will be focused on working with real data and the cooperation of various methods while solving difficult problems from the areas of optimization, learning and modelling.

Additional study resources/papers

Deep Style:

Fooling Neural Networks:

Neural Machine Translation:

Image Super-Resolution:

Deep reinforcement learning:

AlphaGO:

Generative Adversarial Networks

Model calibration

About

Teaching materials for the seminar on Application of Computational Intelligence Methods

Resources

Releases

No releases published

Packages

No packages published