Implementation of CNN on ZYNQ FPGA to classify handwritten numbers using MNIST database

A sample project implementing TensorFlowSharp and a trained CNN network to classify MNIST images in the Unity Video Game Engine

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-encoders - Hinton, G. E., Krizhevsky, A. and Wang, S. D. (2011) A parallel computation that assigns canonical object-based frames of reference. - Hinton, G.E. (1981) Shape representation in parallel systems - Hinton, G.E. (1981) Optimizing Neural Networks that Generate Images - Tijmen Tieleman’s disseration 其他论文 Capsule Network Performance on Complex Data - Xi, E., Bing, S. and Jin, Y. (2017) Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture - Qiao, K., Zhang, C., Wang, L., Yan, B., Chen, J., Zeng, L. and Tong, L., (2018) An Optimization View on Dynamic Routing Between Capsules - Wang, D., Liu, E. (2018) CapsuleGAN: Generative Adversarial Capsule Network Ayush Jaiswal, Wael AbdAlmageed, Premkumar Natarajan. (2018) Spectral Capsule Networks - Bahadori, M. T. (2018) 博客 Max Pechyonkin的胶囊网络入门系列： 胶囊网络背后的直觉 胶囊如何工作 囊间动态路由算法 胶囊网络架构 基于TensorFlow实现胶囊网络 Debarko De的胶囊网络教程，包括注释详尽的胶囊网络实现代码 基于CUDA为胶囊网络实现TensorFlow定制操作 Jos van de Wolfshaar的文章，定制胶囊网络运算的CUDA支持 ISI新研究：胶囊生成对抗网络 用胶囊网络替换CNN作为GAN的判别网络，在MNIST数据集上取得了比卷积GAN更好的表现 Uncovering the Intuition behind Capsule Networks and Inverse Graphic Tanay Kothari的长篇教程 A Visual Representation of Capsule Connections in Dynamic Routing Between Capsules Mike Ross的胶囊网络示意图 Capsule Networks Are Shaking up AI — Here’s How to Use Them Nick Bourdakos的介绍 Capsule Networks Explained Kendrick Tan的解释 Understanding Dynamic Routing between Capsules (Capsule Networks) Jonathan Hui的教程，包括注释详尽的基于Keras的胶囊网络实现代码 Matrix capsules with EM routing Adrian Colyer关于EM路由的文章 Capsule Networks: A Glossary Sebastian Kwiatkowski的胶囊网络术语表 Overview of awesome articles 点评三篇胶囊网络教程 视频 Geoffrey Hinton’s talk: What is wrong with convolutional neural nets? - Geoffrey Hinton在MIT. Brain & Cognitive Sciences的演讲《卷积神经网络的问题在哪里？》 Capsule Networks (CapsNets) – Tutorial - “这视频棒极了。我本希望我能把胶囊解释得这么清楚。”Geoffrey Hinton Capsule networks: overview - 胶囊网络概览，包括向量和矩阵胶囊。 Overview of awesome videos 对以上3个视频的点评。 Capsule Networks: An Improvement to Convolutional Networks Siraj Raval介绍胶囊网络的视频 动态路由实现 官方实现 Sarasra/models 《Dynamic Routing Between Capsules》论文所用的代码 TensorFlow alisure-ml/CapsNet bourdakos1/capsule-networks etendue/CapsNet_TF InnerPeace-Wu/CapsNet-tensorflow jaesik817/adv_attack_capsnet jostosh/capsnet JunYeopLee/capsule-networks laodar/tf_CapsNet leoniloris/CapsNet naturomics/CapsNet-Tensorflow rrqq/CapsNet-tensorflow-jupyter thibo73800/capsnet-traffic-sign-classifier tjiang31/CapsNet winwinJJiang/capsNet-Tensorflow PyTorch acburigo/CapsNet adambielski/CapsNet-pytorch AlexHex7/CapsNet_pytorch aliasvishnu/Capsule-Networks-Notebook-MNIST andreaazzini/capsnet.pytorch cedrickchee/capsule-net-pytorch dragen1860/CapsNet-Pytorch gram-ai/capsule-networks higgsfield/Capsule-Network-Tutorial laubonghaudoi/CapsNet_guide_PyTorch leftthomas/CapsNet nishnik/CapsNet-PyTorch tonysy/CapsuleNet-PyTorch Ujjwal-9/CapsNet Keras fengwang/minimal-capsule gusgad/capsule-GAN mitiku1/Emopy-CapsNet ruslangrimov/capsnet-with-capsulewise-convolution streamride/CapsNet-keras-imdb sunxirui310/CapsNet-Keras theblackcat102/dynamic-routing-capsule-cifar XifengGuo/CapsNet-Keras XifengGuo/CapsNet-Fashion-MNIST Chainer soskek/dynamic_routing_between_capsules Torch mrkulk/Unsupervised-Capsule-Network MXNet AaronLeong/CapsNet_Mxnet GarrickLin/Capsnet.Gluon Soonhwan-Kwon/capsnet.mxnet CNTK Southworkscom/CapsNet-CNTK Lasagne DeniskaMazur/CapsNet-Lasagne Matlab yechengxi/LightCapsNet R dfalbel/capsnet JavaScript alseambusher/capsnet.js Vulcan moothyknight/CapsNet-for-Graphics-Rendering-Optimization EM路由实现 TensorFlow gyang274/capsulesEM www0wwwjs1/Matrix-Capsules-EM-Tensorflow PyTorch shzygmyx/Matrix-Capsules-pytorch 其他资源 Capsule Networks discussion Facebook讨论组 CapsNet-Tensorflow CapsNet-Tensorflow的gitter.im讨论组 Will capsule networks replace neural networks? Quora问答“胶囊网络会取代神经网络吗？” Could GANs work with Hinton’s capsule theory? Quora问答“GAN可以应用Hinton的胶囊理论吗？” Dynamic Routing Between Capsules Kyuhwan Jung对论文《Dynamic routing between Capsules》的评论（slideshare）

Classifying MNIST dataset usng CNN (for Kaggle competition)

Using deep CNNs and stacked autoencoders to classify images of digits from the MNIST dataset

An MNIST handwritten dataset classifier using a genetically optimized CNN model.

My final year project that involves creating a CNN to classify digits (mnist) from scratch using Python, C and Verilog.

CNN classifier on the Fourier Transform of MNIST data with >95% accuracy

A detailed low-level chip that applies a CNN classifier over a grayscaled image (MNIST handwritten digits dataset).

Using MLPs and CNNs to classify Fashion-MNIST items.

This repository contains a simple and efficient implementation of a Convolutional Neural Network(CNN) for classifying handwritten digits from the MNIST dataset using PyTorch.

First Windows Form Application to Recognize MNIST Handwritten Digits using TensorflowSharp for C#. Using CNN Classifier.

CNN to classify Fashion-MNIST dataset images

C++ implementation of neural networks supporting regression, classification and CNNs. Includes examples such as a MNIST classifier.

A CNN that classifies handwritten digits from the MNIST dataset implemented using only numpy.

Image Classifier with kNN, SVM, MLP, CNN; Caption with RNN, Transformer; GAN on MNIST; Self-Supervised on unlabel data.

This project features a custom-built Convolutional Neural Network (CNN) for classifying the Fashion MNIST dataset.

Experiments in image captioning. Classify MNIST sequences with a hybrid CNN-RNN architecture implemented in Pytorch.

A convolutional neural network (CNN) built from scratch using only NumPy to classify handwritten digits from the MNIST dataset.

Build an accurate digit recognition model using PyTorch. Train a deep learning CNN on the MNIST dataset to classify handwritten digits. GPU acceleration for faster training. Ideal for image recognition enthusiasts.

Python GUI and PyTorch based backend to train a DNN or CNN on the MNIST handwriting dataset, classify digits the user draws in the GUI, and save hyperparameter info for a MATLAB graph.

PyTorch-based project using a Convolutional Neural Network (CNN) to classify digits from the MNIST dataset. Includes scripts for training, validation, testing with custom images, and visualizing metrics. Features a structured architecture and tools for result evaluation.

A Convolutional Neural Network (CNN) based project to classify handwritten digits (0–9) using the MNIST dataset. The model is trained and evaluated in Python (TensorFlow / Keras), and its performance is compared with classical machine learning algorithms.

This project focuses on classifying handwritten digits using the MNIST dataset. It employs deep learning techniques, particularly convolutional neural networks (CNNs), to accurately recognize and classify digits from 0 to 9. Built with Python and TensorFlow, the model is trained to achieve high accuracy in recognizing handwritten digits for practic

Develop a machine learning model to classify images from the Fashion MNIST dataset into ten categories using deep learning techniques. The project leverages frameworks like TensorFlow or PyTorch to build and train Convolutional Neural Networks (CNNs) for high classification accuracy.

Fashion MNIST Image Classifier – CNN + Flask Web App

A simple CNN (without any framework) to classify Fashion-MNIST.

we try to classify this dataset--mnist by using CNN net

A basic CNN from scratch using python + openCL to classify MNIST digits

Deep Learning models (MLP and CNN) to classify items of fashion-MNIST dataset