Information about "inter_class_dist_output" layer

[Maharshi-Aupera]

Dear Authors, Thanks for the wonderful work. I was wondering if you explain the parameters in the following "inter_class_dist_output" layer.

layer {
  name: "inter_class_dist_output"
  type: "InterClass"
  bottom: "fc5"
  bottom: "label"
  top: "maximize_inter_class_dist"
  param {
    name: "fc6_w"
    lr_mult: 1
    decay_mult: 1
  }
  inter_class_param {
    num_output: 10572
    type: AMONG
    iteration: 16000
    alpha_start_iter: 16001
    alpha_start_value: 10 #among
  }
}

Essentially, if you could please answer the following questions then it would be great: 1 -> Parameter fc6_w which is a learnable parameter in the network. Could you please explain what this parameter is for in the network? 2 -> Could you please explain about this parameter type: AMONG? 3 -> It would be also great if you could please explain about iteration, alpha_start_iter and alpha_start_value parameters and how should we tune them?

Thanks very much.