Robinatp / Tensorflow_model_slim_classify
Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet
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Tensorflow_Model_Slim_Classify
Train/Eval the popular network from model slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet
References
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squeezenet: SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
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mobilenetv1: MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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shufflenetv1: ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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mobilenetv2: MobileNetV2: Inverted Residuals and Linear Bottlenecks
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xception: Xception: Deep Learning with Depthwise Separable Convolutions
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MobileFaceNets: MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices
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shufflenetv2: ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
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