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NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
ResNet50 v1.5 for TensorFlow1
Resource
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
ResNet50 v1.5 for TensorFlow1

With modified architecture and initialization this ResNet50 version gives ~0.5% better accuracy than original.

Changelog

  1. March, 2019
  • Initial release
  1. May, 2019
  • Added DALI support
  • Added scripts for DGX-2
  • Added benchmark results for DGX-2 and XLA-enabled DGX-1 and DGX-2.
  1. July, 2019
  • Added Cosine learning rate schedule
  1. August, 2019
  • Added mixup regularization
  • Added T4 benchmarks
  • Improved inference capabilities
  • Added SavedModel export
  1. January, 2020
  • Removed manual checks for dataset paths to facilitate cloud storage solutions
  • Move to a new logging solution
  • Bump base docker image version
  1. March, 2020
  • Code cleanup and refactor
  • Improved training process
  1. June, 2020
  • Added benchmark results for DGX-A100
  • Updated benchmark results for DGX-1, DGX-2 and T4
  • Updated base docker image version
  1. August 2020
  • Updated command line argument names
  • Added support for syntetic dataset with different image size
  1. January, 2022
  • Added barrier at the end of multiprocess run

Known issues

Performance without XLA enabled is low due to BN + ReLU fusion bug.