Чему вы научитесь
- Select the best ANN architecture for the certain task
- Construct training dataset for the certain task
- Train ANN manually
- Train ANN using Google colab
О курсе
The content of the course includes the basic information about artificial neural networks - starting from biological and artificial neurons, basic ANN topologies, ANN training for different tasks. High attention is devoted to manual calculations as the basis of deep understanding of artificial neural networks.
This course is a part of double degree master program RCSE between KNRTU-KAI and TU Ilmenau. It is the basis for study of some advanced courses such as deep learning.
Для кого этот курс
The course is designed for undergraduates of technical universities, as well as technical specialists with a basic technical or mathematical education.
This course is a part of double degree master program RCSE between KNRTU-KAI and TU Ilmenau. Other MSc or BSc students who is interested artificial neural networks can study it.
Начальные требования
To successfully study the course "Basics of neural networks", students should be familiar with such disciplines as "Linear Algebra", "Numerical Methods".
Преподаватели курса
95
Как проходит обучение
Training takes place sequentially, from the topic "Basic concepts of neural networks", then the topic "Single layer ANN", "Multilayer perceptron", "Self-organizing maps", "Recurrent neural networks", "Deep learning models". For each topic video lectures, lectures in the form of text and tests are provided. Theoretical tests are checked automatically. The results of the laboratory work are checked by the teacher. Additionally, students can discuss the studied topics in special "Discussion Rooms". Also, if desired, each student can comment on scientific articles proposed for study.
Что вы получите
- You will gain knowledge and skills in the field of artificial neural networks that are in demand in real life.