[ 993MLPELRNU19 ] UE LSTM and Recurrent Neural Nets

Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS M1 - Master's programme 1. year (*)Artificial Intelligence Sepp Hochreiter 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Artificial Intelligence 2021W
Objectives This course will show practical applications and implementations of the contents of the “LSTM and Recurrent Neural Nets (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 Assignments during the semester plus final exam
Methods Students are given assignments in 1-2 week intervals. Homework must be handed in. Results are to be presented and discussed in the course.
Language English
Changing subject? No
On-site course
Maximum number of participants 35
Assignment procedure Direct assignment