Antingen stödjer din webbläsare inte javascript, eller är javascript inaktiverat. Denna webbplats fungerar bäst om du aktiverar javascript.

Sex studenter som pratar med varandra i utemiljö. Foto.
This course introduces the basics of artificial neural network (ANN) and deep neural network (DNN). The course also deals with proper applicability of different ANN/DNN algorithms in some of the practical appication (like computer vision). The student shall also learn about some of the modern DNN architectures. Practical exercises are provided to give hands-on experience.

FACTS


CYCLE

Second cycle

ENTRY REQUIREMENTS

General entry requirements and approved result from the following course/courses:
IAI600-Introduction to Artificial Intelligence and Machine Learning and
BSD600-Big Data Processing and Analysis and
PFA600-Programming for Automation and
STB600-Sensor Technology and Image Analysis or the equivalent.

PACE OF STUDY

Part-time

TYPE OF INSTRUCTION

On Campus

PROGRAMME/COURSE DATE


SPRING 2024

SPRING 2024

TEACHING HOURS

Daytime

APPLICATION DEADLINE

16 October 2023

APPLICATION CODE

HV-E1774

START/END

From v.03 2024 to v.12 2024

Do you need help?

Entry requirements, selection, admission, study counselling and other questions

Contact Servicecenter