#计算机科学#🎆 A visualization of the CapsNet layers to better understand how it works
Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017
[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).
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
#计算机科学#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.
#计算机科学#Hinton's Forward-Forward algorithm for deep learning
#计算机科学#Programming Assignments for the Neural Networks for Machine Learning Course on Coursera
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
Simple implementation of the standard Boltzmann Machine model with MATLAB
#计算机科学#CapsNet models