LECTURES

PROJECT CLASSES

METHODS OF ARTIFICIAL INTELLIGENCE

is already runing, but some topics are still under construction and will be available later at this term.

This course is provided by two lecturers beside me: dr inż. Marta Kraszewska. It includes 14 lectures and 14 project classes.

Certificate of International Summer School on Deep Learning for Adrian Horzyk dogagechallenge award certified to adrian horzyk and efe ergun 2nd winner h400 (234 kB) COURSERA Certificate Deep Learning Specialization Neural Networks and Deep Learning for Adrian Horzyk
COURSERA Certificate Deep Learning Specialization Improving Deep Neural Networks for Adrian Horzyk COURSERA Certificate Deep Learning Specialization Structuring Machine Learning Projects for Adrian Horzyk COURSERA Certificate Deep Learning Specialization Sequence Models for Adrian Horzyk

What is this course about?

This course is intended to give students a fundamental overview and knowledge about popular solutions and neural network models as well as learning strategies. During the course we will deal with the popular models and computational methods using neural networks. We will also tackle with sample CI and AI problems.

Lectures will be supplemented by project classes during which you will train and adapt the solution learned during the lectures on selected data.


Maybe you would like to take part in IT competitions (e.g. Kaggle) and win a lot of money?!



Presentations of the Final Projects (during the last classes in the semester, i.e. on the 11th of June):

on Tuesdays from 10:30 to 12:00 in C3 201a

How this course will be graded?

Detailed information will be presented at the beginning of this course by dr inż. Marta Kraszewska.

RECOMMENDED LITERATURE AND BIBLIOGRAPHY: