Via this course and by the successful completion thereof, the students will:
- Learn fundamental sequence modelling problems
- Learn details and use of Recurrent Neural Networks in sequence models
- Learn short and long term dependency concepts in sequence problems
- Learn variants of gated recurrent architectures.
- Learn the concept of recurrent and nonrecurrent models of attention in multimedia signals
- Learn combinations of RNN based sequence models with conventional machine learning models