Pure python implementation of SNN

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

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 digits classification from MNIST with TensorFlow on Android; Featuring Tutorial!

MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.

PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.

Handwritten Digit Recognition using Machine Learning and Deep Learning

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Nerual Network of Stochastic Computing for MNIST Recognition

Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

Generative Adversarial Networks in TensorFlow 2.0

Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project

TensorFlow implementation of "ResNeSt: Split-Attention Networks"

A C++ implementation to create, visualize and train Convolutional Neural Networks

A collection of codes for 'how far can we go with MNIST' challenge

MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

Digit Classifier trained on MNIST and tested using webcam.

My works for EE 569 - Digital Image Processing - Spring 2018 - Graduate Coursework at USC - Dr. C.-C. Jay Kuo