[ 993MLPEDN2U19 ] UE Deep Learning and Neural Nets II

Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS M1 - Master's programme 1. year (*)Artificial Intelligence Günter Klambauer 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Artificial Intelligence 2019W
Objectives This course will show practical applications and implementations of the contents of the “Deep Learning and Neural Nets II (3 VL)” class. Programming assignments will be done in Python using the PyTorch framework.
Subject Students will exercise the theory presented in the accompanying lecture and solve programming assignments.
Criteria for evaluation bi-weekly assignments, exam at the end of the semester
Methods Slide presentations, presentations on blackboard, discussion, and code example
Language English
Changing subject? No
On-site course
Maximum number of participants 35
Assignment procedure Direct assignment