The paper discusses combining Inception and ResNet architectures for improved image recognition. By integrating Inception’s multi-view capabilities with ResNet’s residual connections, the new Inception-ResNet models learned faster. A key finding was to scale down the residuals to prevent instability. Ensemble methods further enhanced performance, achieving record accuracy on benchmarks.
Alex Bakerloo 