To participate in the Kaggle cdiscount competition

Implement Inception-v4 using most recent version of Keras

Four deep learning architectures trained on face image datasets for facial recognition. Compared against a pretrained openface model.

inception in tensorflow

GoogLeNet Inception-v4 ( Keras 2.24 )

MIVisionX Python Inference Analyzer uses pre-trained ONNX/NNEF/Caffe models to analyze inference results and summarize individual image results

A simplification of Tensorflow Tensor Operations

Pytorch inception v4 for human actions recognition.

A collection of deep learning models (PyTorch implemtation)

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)