by Ciro Santilli (@cirosantilli, 34)
catalog.ngc.nvidia.com/orgs/nvidia/resources/resnet_50_v1_5_for_pytorch explains:
The difference between v1 and v1.5 is that, in the bottleneck blocks which requires downsampling, v1 has stride = 2 in the first 1x1 convolution, whereas v1.5 has stride = 2 in the 3x3 convolution.
This difference makes ResNet50 v1.5 slightly more accurate (~0.5% top1) than v1, but comes with a smallperformance drawback (~5% imgs/sec).

Ancestors (11)

  1. ResNet variant
  2. Residual neural network
  3. ANN model
  4. Artificial neural network
  5. Neural network
  6. Machine learning
  7. Computer
  8. Information technology
  9. Area of technology
  10. Technology
  11. Home

View article source

Discussion (0)

New discussion

There are no discussions about this article yet.

Articles by others on the same topic (0)

There are currently no matching articles.
See all articles in the same topic Create my own version