Repo for working through Geoffrey Hinton's Neural Network course (https://class.coursera.org/neuralnets-2012-001)
Python version of programming assignments for "Neural Networks for Machine Learning" Coursera course taught by Geoffrey Hinton.
Deep learning code by Hinton
Pytorch implementation of Hinton's Dynamic Routing Between Capsules
Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation
An easy-to-follow Pytorch implementation of Hinton's Capsule Network
Reimplementation of Geoffrey Hinton's Forward-Forward Algorithm
CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
论文 Hinton等的论文 Matrix capsules with EM routing - Hinton, G. E., Sabour, S. and Frosst, N. (2018) Dynamic Routing Between Capsules - Sabour, S., Frosst, N. and Hinton, G.E. (2017) Transforming Auto-enc...
Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017
Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
PyTorch implementation of the paper Dynamic Routing Between Capsules by Sara Sabour, Nicholas Frosst and Geoffrey Hinton
Model Compression 1. Pruning(BN Pruning) 2. Knowledge Distillation (Hinton) 3. Quantization (MNN) 4. Deployment (MNN)
Geoffrey Hinton，深度学习的开创者之一，反向传播等神经网络经典算法的发明人，2017年10月发表了论文，介绍了全新的胶囊网络模型，以及相应的囊间动态路由算法。本人用Paddle框架实现了它