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 use the ResNet50 v1.5 model.
Requirements
This repository contains Dockerfile which extends the TensorFlow NGC container and encapsulates all dependencies. Aside from these dependencies, ensure you have the following software:
- NVIDIA Docker
- TensorFlow 20.06-tf1-py3 NGC container
- GPU-based 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 TensorFlow.
For those unable to use the TensorFlow NGC container to set up the required environment or create your own container, see the versioned NVIDIA Container Support Matrix.