mobilenetv1(width_mult, config;
            activation = relu,
            inchannels = 3,
            nclasses = 1000)

Create a MobileNetv1 model (reference).

Arguments

• width_mult: Controls the number of output feature maps in each block (with 1.0 being the default in the paper)

• configs: A “list of tuples” configuration for each layer that details:

  • dw: Set true to use a depthwise separable convolution or false for regular convolution
  • o: The number of output feature maps
  • s: The stride of the convolutional kernel
  • r: The number of time this configuration block is repeated

• activate: The activation function to use throughout the network

• inchannels: The number of input channels. The default value is 3.

• nclasses: The number of output classes