ry/tensorflow-resnet
A TensorFlow implementation of ResNet for image classification using deep residual learning.
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This repository provides a ResNet model implementation in TensorFlow, based on the Deep Residual Learning paper by He et al. It includes utilities to convert pretrained Caffe weights to TensorFlow format, supports fully convolutional inputs of any size, and aims to support training on CIFAR-10, CIFAR-100, and ImageNet datasets.
Frequently asked
- What is ry/tensorflow-resnet?
- A TensorFlow implementation of ResNet for image classification using deep residual learning.
- Is tensorflow-resnet open source?
- Yes — ry/tensorflow-resnet is open source, released under the MIT license.
- What language is tensorflow-resnet written in?
- ry/tensorflow-resnet is primarily written in Python.
- How popular is tensorflow-resnet?
- ry/tensorflow-resnet has 1.7k stars on GitHub.
- Where can I find tensorflow-resnet?
- ry/tensorflow-resnet is on GitHub at https://github.com/ry/tensorflow-resnet.