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 | 42 | 38.18% |
| Text-To-Speech Synthesis | 15 | 13.64% |
| Decoder | 10 | 9.09% |
| Sentence | 6 | 5.45% |
| Voice Cloning | 5 | 4.55% |
| Voice Conversion | 4 | 3.64% |
| Speech Recognition | 4 | 3.64% |
| Expressive Speech Synthesis | 3 | 2.73% |
| Self-Supervised Learning | 2 | 1.82% |
GRU
Residual Connection
