Efficient-Model-Design.md

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