Image Classification based on Transfer Learning of Deep Learning Convolutional Neural Networks

Universal Image classifier

99.7% accuracy solution for Dogs vs Cats Redux Kaggle competition

Cdiscount Image Classification Challenge on kaggle.com

Xception V1 model in Tensorflow with pretrained weights on ImageNet

Defect classificaiton using NEU dataset

AI场景分类竞赛

Chainer implementation of the paper "Xception: Deep Learning with Depthwise Separable Convolutions" (https://arxiv.org/abs/1610.02357).

Transfer learning with Xception CNN to recognize kids' toys and gear

In this project, I built a pipeline that can be used within a web or mobile app to process real-world, user-supplied images. Given an image of a dog, my algorithm identifies an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed. I submitted this project as part of Udacity's Machien Le…

training a classification model with xray14 dataset

Udacity Machine Learning Engineer Nanodegree Convolutional Neural Networks (CNN) Project: Dog Breed Classifier

This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.

Given an image of a dog, our algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.

Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet

Semantic segmentation models for @work

Dog breed classifier

Pytorch implementation of DeepLab V3+