Artificial Neural Networks 2401-CS-21-ANN-s2

(in Polish) 1: Student knows how to apply basic artificial neural networks to solve real life problems. 2: Student understands the most important deep learning algorithms and methods. 3: has basic knowledge of differences between artificial neural networks: Fully Multilayer Perceptron, Convolutional Neural Network and Recurrent Neural Networks.

(in Polish) 1: Student is able to efficiently communicate deep learning results to the diverse audience 2: Student is able to use modern tools and methods to solve complex real-life problems. 3:Student is capable of creating simple artificial neural network and test its learning processes.

(in Polish) Basic programming with Python, basics of statistics and probability, basics of linear algebra, basics of mathematical analysis

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

• Description of 2401-CS-21-ANN-s2 in USOSweb