Recurrent Neural Networks
Residual GRU
Introduced by Toderici et al. in Full Resolution Image Compression with Recurrent Neural NetworksA Residual GRU is a gated recurrent unit (GRU) that incorporates the idea of residual connections from ResNets.
Source: Full Resolution Image Compression with Recurrent Neural Networks
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Speech Synthesis | 43 | 37.72% |
| Text-To-Speech Synthesis | 15 | 13.16% |
| Decoder | 11 | 9.65% |
| Sentence | 6 | 5.26% |
| Voice Cloning | 5 | 4.39% |
| Voice Conversion | 4 | 3.51% |
| Speech Recognition | 4 | 3.51% |
| Expressive Speech Synthesis | 3 | 2.63% |
| Self-Supervised Learning | 2 | 1.75% |
GRU
Residual Connection
