RETURNN: the RWTH extensible training framework for universal recurrent neural networks
Doetsch, Patrick (Corresponding author); Zeyer, Albert (Corresponding author); Voigtlaender, Paul (Corresponding author); Kulikov, Ilia (Corresponding author); Schlüter, Ralf (Corresponding author); Ney, Hermann (Corresponding author)
Piscataway, NJ : IEEE (2017)
Contribution to a book, Contribution to a conference proceedings
In: 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : March 5-9, 2017, Hilton New Orleans Riverside, New Orleans, Louisiana, USA / sponsored by The Institute of Electrical and Electronics Engineers, Signal Processing Society
Page(s)/Article-Nr.: 5345-5349
Institutions
- Department of Computer Science [120000]
- Chair of Computer Science 6 (Machine Learning and Reasoning) [122010]
Identifier
- DOI: 10.1109/ICASSP.2017.7953177
- RWTH PUBLICATIONS: RWTH-CONV-220406