Resource
With modified architecture and initialization this ResNet50 version gives ~0.5% better accuracy than original.
Use the NGC CLI to download:
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The following section lists the requirements you need to meet to start training the ResNet50 model.
Requirements
This repository contains a Dockerfile that extends the CUDA NGC container and encapsulates some dependencies. Aside from these dependencies, ensure you have the following components:
- NVIDIA Docker
- PaddlePaddle 22.05-py3 NGC container or newer
- Supported GPUs:
For more information about how to get started with NGC containers, refer to the following sections from the NVIDIA GPU Cloud Documentation and the Deep Learning DGX Documentation: