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Efficient-Model-Design.md

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Efficient Model Design

  • EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
  • ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
  • ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
  • MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  • MobileNetV2: Inverted Residuals and Linear Bottlenecks
  • SQUEEZENET: ALEXNET-LEVEL ACCURACY WITH 50X FEWER PARAMETERS AND <0.5MB MODEL SIZE
  • SqueezeNext: Hardware-Aware Neural Network Design
  • Xception: Deep Learning with Depthwise Separable Convolutions