To participate in the Kaggle cdiscount competition
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Updated
Oct 21, 2017 - Python
To participate in the Kaggle cdiscount competition
Implement Inception-v4 using most recent version of Keras
MIVisionX Python Inference Analyzer uses pre-trained ONNX/NNEF/Caffe models to analyze inference results and summarize individual image results
Four deep learning architectures trained on face image datasets for facial recognition. Compared against a pretrained openface model.
GoogLeNet Inception-v4 ( Keras 2.24 )
inception in tensorflow
Pytorch inception v4 for human actions recognition.
A collection of deep learning models (PyTorch implemtation)
A simplification of Tensorflow Tensor Operations
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)
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