Inception-ResNet-v2 is a convolutional neural architecture that builds on the Inception family of architectures but incorporates residual connections (replacing the filter concatenation stage of the Inception architecture).
Source:TASK | PAPERS | SHARE |
---|---|---|
Machine Translation | 2 | 11.76% |
Image Classification | 2 | 11.76% |
Optical Character Recognition | 1 | 5.88% |
Multi-Task Learning | 1 | 5.88% |
Object Detection | 1 | 5.88% |
Self-Supervised Learning | 1 | 5.88% |
Action Recognition | 1 | 5.88% |
Temporal Action Localization | 1 | 5.88% |
Text Generation | 1 | 5.88% |