Course: Artificial Neural Network and evolutionary algorithms

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Course title Artificial Neural Network and evolutionary algorithms
Course code KFY/P242
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Malý Marek, doc. RNDr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
unspecified
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature
  • https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks.
  • Goodfellow,I., Bengio,Y., Courville,A. Deep Learning, MIT Press book, 2016 (http://www.deeplearningbook.org).
  • J. Šíma, R. Neruda. Teoretické otázky neuronových sítí, Matfyzpress, Praha 1996, ISBN 80-85863-18-.
  • Kvasnička V., Pospíchal J., Tiňo P. Evoluční algoritmy. Vydavatelství STU Bratislava, 2000. ISBN ISBN 80-227-1.
  • Peterka Ivo. Genetické algoritmy Matematicko-fyzikální fakulta Univerzity Karlovy, 1999 (diplomová práce).
  • Volná Eva. Evoluční algoritmy a neuronové sítě, Ostravská univerzita, Ostrava 2012.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester