name: "ConvLayer_3x96x11x11"
input: "data"
input_dim: 128
input_dim: 3
input_dim: 128
input_dim: 128
layers {
  name: "conv1"
  type: CONVOLUTION
  bottom: "data"
  top: "conv1"
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 96
    kernel_size: 11
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}