naturomics/CapsNet-Tensorflow
A TensorFlow implementation of Geoffrey Hinton's CapsNet architecture, a neural network designed to replace traditional CNNs with capsule-based routing for image classification.
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This repository provides a complete TensorFlow implementation of CapsNet, based on Hinton’s paper on dynamic routing between capsules. It achieves 99.64% accuracy on MNIST and 90.60% on Fashion-MNIST. The implementation includes the core capsule routing algorithm, primary capsule layers, and digit capsule layers. A multi-GPU distributed version is also available.
Frequently asked
- What is naturomics/CapsNet-Tensorflow?
- A TensorFlow implementation of Geoffrey Hinton's CapsNet architecture, a neural network designed to replace traditional CNNs with capsule-based routing for image classification.
- Is CapsNet-Tensorflow open source?
- Yes — naturomics/CapsNet-Tensorflow is open source, released under the Apache-2.0 license.
- What language is CapsNet-Tensorflow written in?
- naturomics/CapsNet-Tensorflow is primarily written in Python.
- How popular is CapsNet-Tensorflow?
- naturomics/CapsNet-Tensorflow has 3.8k stars on GitHub.
- Where can I find CapsNet-Tensorflow?
- naturomics/CapsNet-Tensorflow is on GitHub at https://github.com/naturomics/CapsNet-Tensorflow.