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 that you need to meet in order to start training the ResNet-50 v1.5 model.
Requirements
This repository contains Dockerfile which extends the MXNet NGC container and encapsulates some dependencies. Aside from these dependencies, ensure you have the following components:
- NVIDIA Docker
- MXNet 22.10-py3 NGC container Supported GPUs:
- NVIDIA Volta architecture
- NVIDIA Turing architecture
- NVIDIA Ampere architecture
For more information about how to get started with NGC containers, see the following sections from the NVIDIA GPU Cloud Documentation and the Deep Learning Documentation:
- Getting Started Using NVIDIA GPU Cloud
- Accessing And Pulling From The NGC Container Registry
- Running MXNet
For those unable to use the MXNet NGC container, to set up the required environment or create your own container, see the versioned NVIDIA Container Support Matrix.