English

Vid tillräcklig efterfrågan

To demonstrate understanding of the concepts and show the ability to use the methods of Chapters 14-17 in the course book.

Deep computer vision using convolutional neural networks, processing sequences using RNNs and CNNs, natural language processing with RNNs and attention, representation, generation using autoencoders and GANs.

demonstrate understanding for the basic concepts and methods presented in Chapters 14-17 in the course book. This includes programming in Python, CNNs, RNNs, Autoencoders and GANs.

participate actively in the discussions on the different chapters
host a chapter-session and complete a project, which includes hands-on implementation of ML-algorithms in Python.

demonstrate understanding for the suitability of different ML-algorithms to bench-mark problems and be able to choose parts of the chapter content to present at the chapter-session they are hosting as well as organize the meeting.

Seminarier

Projekt

Litteraturkurs som självstudier

Seminarieföredrag av deltagarna

Sufficient participation in the seminars and the discussions.

Underkänd, godkänd

None

Géron, A.: Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Unsupervised learning techniques. 2019. ISBN 9781492032649.

The course is given upon request, if sufficient demand is present.

FRT250F

2021-03-01

Professor Thomas Johansson