Artificial Neural Networks and deep Architectures

Log in to your course web

You are not logged in KTH, so we cannot customize the content.

Course offering parallel with the second-cycle DD2437 counterpart

This doctoral course is offered in parallel with the second-cycle course DD2437. This implies that all learning activities as well as the examination fully overlap with those DD2437 (so please check the timetable for DD2437; also following registration students are added to the corresponding course webpage on Canvas). The main difference in assessment for doctoral students taking FDD3437 is the requirement for an extra project assignment.

FDD3437/DD2437 is offered in HT20 exclusively online in the spirit of distance education (off campus) with no presence on campus.

Please contact course responsible/examiner for more details.

Välkommen till kurswebben!

Alla kurser på KTH använder inte kurswebben fullt ut i dagsläget. Kurswebben är däremot alltid öppen för studenter. Som student kan bidra med material i kurswikin ( t ex föreläsningsanteckningar och lästips), ställa frågor och diskutera kursen med andra studenter. Modereringsfunktionen fångar upp obesvarade frågor till myndigheten KTH och skickar dem vidare till rätt instans. På kurswebben hittar du även schemainformation om kursen. Mer om hur kurswebben fungerar

Welcome to the course website!

All courses at KTH are not using the course web in full. The course web is however always open to students. Students can provide input into the course wiki (eg lecture notes and tips on useful readings), ask questions and discuss the course with other students. There is a moderator function that captures unanswered questions to the public agency KTH and sends them on to the proper authorities. You can find information about the course schedule aswell on the course web. More information about the course web.


Feedback News