GoogleNet (Inception V1) introduced 1×1 convolutions, global average pooling, different size convolution filters, intermediate classifier branches.
These innovations reduced parameter counts, mitigated overfitting, captured multi‑scale features, and eased gradient flow, letting GoogleNet win ILSVRC‑2014.