mnist-classification topic
DANN-pytorch
Implementation of DANN with pytorch
mnist-classification
Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
Handwritten-Digit-Recognition-using-Deep-Learning
Handwritten Digit Recognition using Machine Learning and Deep Learning
svm_mnist_digit_classification
MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.
AndroidTensorFlowMNISTExample
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
mnist-android-tensorflow
Handwritten digits classification from MNIST with TensorFlow on Android; Featuring Tutorial!
Spiking-Neural-Network
Pure python implementation of SNN
tensorflow-mnist-cnn
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
StochasticNet
Nerual Network of Stochastic Computing for MNIST Recognition