🎆 A visualization of the CapsNet layers to better understand how it works
-
Updated
Oct 5, 2021 - Python
🎆 A visualization of the CapsNet layers to better understand how it works
[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).
CapsNet for NLP
A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)
Empirical studies on Capsule Network representation and improvements implemented with PyTorch.
MXNet implementation of CapsNet
PyTorch implementation of (Hinton) Knowledge Distillation and a base class for simple implementation of other distillation methods.
Another implementation of Hinton's capsule networks in tensorflow.
A simple tensorflow implementation of CapsNet (by Dr. G. Hinton), based on my understanding. This repository is built with an aim to simplify the concept, implement and understand it.
MXNet implementation of CapsNet
Programming Assignments for the Neural Networks for Machine Learning Course on Coursera
Hinton's Forward-Forward algorithm for deep learning
The assignments for the Neural Networks for Machine Learning from Prof. Hinton
A PyTorch implementation of Matrix Capsules with EM Routing by Hinton et al.
The code implements Hinton's matrix capsule with em routing for Cifar-10 dataset
Neural Networks for Machine Learning(Spring'17) - Hinton
Pyhton notebook based on: Programming assignment 3 from Hinton's Neural Networks course from coursera https://www.coursera.org/learn/neural-networks
Add a description, image, and links to the hinton topic page so that developers can more easily learn about it.
To associate your repository with the hinton topic, visit your repo's landing page and select "manage topics."