Package smile.vision.layer


package smile.vision.layer
Neural network layers for computer vision tasks.
  • Class
    Description
    Convolution2d-Normalization-Activation block.
    Conv2dNormActivation configurations.
    Fused-MBConv replaces the depthwise-conv3×3 and expansion-conv1×1 in MBConv with single regular conv3×3.
    Mobile inverted bottleneck convolution.
    EfficientNet block configuration.
    Squeeze-and-Excitation block from "Squeeze-and-Excitation Networks".
    Stochastic Depth for randomly dropping residual branches of residual architectures, from "Deep Networks with Stochastic Depth".