ФПН/ Науки про дані (магістри)/Архів

Lecturer: Artem Chernodub
Academic group
: PKN21/M
Year of study:
 1

Lecturer: Artem Chernodub
Academic group
: PKN21/M
Year of study:
 1

"Introduction to Deep Learning" aims to provide an overview of general DL design principles and most common applications. Mainstream DL approaches, methods, and applications are considered and discussed. The course contains two homework assignments. Each assignment includes theoretical and practical tasks. In the theoretical part, you need to write mathematical equations which describe the neural network's forward and backward passes. The outcome of the practical part is code written in Python: you will be asked to develop the neural network "from scratch."


Lecturer: Andrii Babii
Academic group
: PKN21/M
Year of study:
 1

Lecturer: Andrii Zhovtanetskyi
Academic group: PKN21/M
Year of study: 1


Lecturer: Mykola Babiak
Academic group: PKN21/M
Year of study: 1


Lecturer: Andriy Gazin
Academic group
: PKN21/M
Year of study:
 1

Lecturer: Mariya Tytarenko
Academic group
: PKN21/M
Year of study:
 1

Lecturer: Kamil Dedecius
Academic group
: PKN21/M
Year of study:
 1


Lecturer: Yarema Okhrin
Academic group
: PKN21/M
Year of study:
 1

Lecturer: Oleksii Ignatenko
Academic group
: PKN21/M
Year of study:
 1


Lecturer: Dmytro Fishman
Academic group
: PKN21/M
Year of study:
 1

Lecturer: Yarema Ohrin
Academic group
: PKN21/M
Year of study:
 1


Lecturer: Ivan Petrenko
Academic group
: PKN21/M
Year of study:
 1


Lecturer: Roman Kyrychenko
Academic group
: PKN21/M
Year of study:
 1

Lecturer: Yurii Kaminskii
Academic group
: PKN21/M
Year of study:
 1

Lecturer: Oksana Halby
Academic group
: PKN21/M
Year of study:
 1

Lecturer: Rostyslav Hryniv
Academic group
: PKN21/M
Year of study:
 1

Lecturer: Oleksandr Romanko
Academic group
: PKN21/M
Year of study:
 1

Lecturer: Andrew Kurochkin
Academic group
: PKN21/M
Year of study:
 2

Викладач: Vadim Ermolayev

Група: PKN21/M

Рік навчання: 2