type: "nn"
layers {
  name: "data"
  type: "data"
  size: 120
  active_type: ""
}
layers {
  name: "__gru_0__"
  type: "gated_recurrent"
  size: 40
  active_type: "sigmoid"
  inputs {
    input_layer_name: "data"
    input_parameter_name: "___gru_0__.w0"
  }
  bias_parameter_name: "___gru_0__.wbias"
  reversed: true
  active_gate_type: "tanh"
}
parameters {
  name: "___gru_0__.w0"
  size: 4800
  initial_mean: 0.0
  initial_std: 0.158113883008
  dims: 40
  dims: 120
  initial_strategy: 0
  initial_smart: true
}
parameters {
  name: "___gru_0__.wbias"
  size: 120
  initial_mean: 0.0
  initial_std: 0.0
  dims: 1
  dims: 120
  initial_strategy: 0
  initial_smart: false
}
input_layer_names: "data"
output_layer_names: "__gru_0__"
sub_models {
  name: "root"
  layer_names: "data"
  layer_names: "__gru_0__"
  input_layer_names: "data"
  output_layer_names: "__gru_0__"
  is_recurrent_layer_group: false
}

