/Tensorflow_Model_Slim_Classify

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

Primary LanguagePython

Tensorflow_Model_Slim_Classify

Train/Eval the popular network from model slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet

References

  1. squeezenet: SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

  2. mobilenetv1: MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

  3. shufflenetv1: ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

  4. mobilenetv2: MobileNetV2: Inverted Residuals and Linear Bottlenecks

  5. resnet: Deep Residual Learning for Image Recognition

  6. xception: Xception: Deep Learning with Depthwise Separable Convolutions

  7. MobileFaceNets: MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices

  8. shufflenetv2: ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design