name: "SE-BN-Inception"
# mean_value: 104, 117, 123
layer {
  name: "se_bn_inception"
  type: "MemoryData"
  top: "data"
  top: "label"
  memory_data_param {
    batch_size: 1
    channels: 3
    height: 224
    width: 224
  }
}
layer {
  name: "conv1/7x7_s2"
  type: "Convolution"
  bottom: "data"
  top: "conv1/7x7_s2"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 3
    kernel_size: 7
    stride: 2
  }
}
layer {
  name: "conv1/7x7_s2/bn"
  type: "BatchNorm"
  bottom: "conv1/7x7_s2"
  top: "conv1/7x7_s2"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv1/7x7_s2/bn/scale"
  type: "Scale"
  bottom: "conv1/7x7_s2"
  top: "conv1/7x7_s2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv1/relu_7x7"
  type: "ReLU"
  bottom: "conv1/7x7_s2"
  top: "conv1/7x7_s2"
}
layer {
  name: "pool1/3x3_s2"
  type: "Pooling"
  bottom: "conv1/7x7_s2"
  top: "pool1/3x3_s2"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "conv2/3x3_reduce"
  type: "Convolution"
  bottom: "pool1/3x3_s2"
  top: "conv2/3x3_reduce"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "conv2/3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "conv2/3x3_reduce"
  top: "conv2/3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv2/3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "conv2/3x3_reduce"
  top: "conv2/3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv2/relu_3x3_reduce"
  type: "ReLU"
  bottom: "conv2/3x3_reduce"
  top: "conv2/3x3_reduce"
}
layer {
  name: "conv2/3x3"
  type: "Convolution"
  bottom: "conv2/3x3_reduce"
  top: "conv2/3x3"
  convolution_param {
    num_output: 192
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "conv2/3x3/bn"
  type: "BatchNorm"
  bottom: "conv2/3x3"
  top: "conv2/3x3"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "conv2/3x3/bn/scale"
  type: "Scale"
  bottom: "conv2/3x3"
  top: "conv2/3x3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv2/relu_3x3"
  type: "ReLU"
  bottom: "conv2/3x3"
  top: "conv2/3x3"
}
layer {
  name: "pool2/3x3_s2"
  type: "Pooling"
  bottom: "conv2/3x3"
  top: "pool2/3x3_s2"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "inception_3a/1x1"
  type: "Convolution"
  bottom: "pool2/3x3_s2"
  top: "inception_3a/1x1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_3a/1x1/bn"
  type: "BatchNorm"
  bottom: "inception_3a/1x1"
  top: "inception_3a/1x1"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3a/1x1/bn/scale"
  type: "Scale"
  bottom: "inception_3a/1x1"
  top: "inception_3a/1x1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3a/relu_1x1"
  type: "ReLU"
  bottom: "inception_3a/1x1"
  top: "inception_3a/1x1"
}
layer {
  name: "inception_3a/3x3_reduce"
  type: "Convolution"
  bottom: "pool2/3x3_s2"
  top: "inception_3a/3x3_reduce"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_3a/3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_3a/3x3_reduce"
  top: "inception_3a/3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3a/3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_3a/3x3_reduce"
  top: "inception_3a/3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3a/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_3a/3x3_reduce"
  top: "inception_3a/3x3_reduce"
}
layer {
  name: "inception_3a/3x3"
  type: "Convolution"
  bottom: "inception_3a/3x3_reduce"
  top: "inception_3a/3x3"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_3a/3x3/bn"
  type: "BatchNorm"
  bottom: "inception_3a/3x3"
  top: "inception_3a/3x3"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3a/3x3/bn/scale"
  type: "Scale"
  bottom: "inception_3a/3x3"
  top: "inception_3a/3x3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3a/relu_3x3"
  type: "ReLU"
  bottom: "inception_3a/3x3"
  top: "inception_3a/3x3"
}
layer {
  name: "inception_3a/double3x3_reduce"
  type: "Convolution"
  bottom: "pool2/3x3_s2"
  top: "inception_3a/double3x3_reduce"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_3a/double3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_3a/double3x3_reduce"
  top: "inception_3a/double3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3a/double3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_3a/double3x3_reduce"
  top: "inception_3a/double3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3a/relu_double3x3_reduce"
  type: "ReLU"
  bottom: "inception_3a/double3x3_reduce"
  top: "inception_3a/double3x3_reduce"
}
layer {
  name: "inception_3a/double3x3a"
  type: "Convolution"
  bottom: "inception_3a/double3x3_reduce"
  top: "inception_3a/double3x3a"
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_3a/double3x3a/bn"
  type: "BatchNorm"
  bottom: "inception_3a/double3x3a"
  top: "inception_3a/double3x3a"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3a/double3x3a/bn/scale"
  type: "Scale"
  bottom: "inception_3a/double3x3a"
  top: "inception_3a/double3x3a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3a/relu_double3x3a"
  type: "ReLU"
  bottom: "inception_3a/double3x3a"
  top: "inception_3a/double3x3a"
}
layer {
  name: "inception_3a/double3x3b"
  type: "Convolution"
  bottom: "inception_3a/double3x3a"
  top: "inception_3a/double3x3b"
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_3a/double3x3b/bn"
  type: "BatchNorm"
  bottom: "inception_3a/double3x3b"
  top: "inception_3a/double3x3b"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3a/double3x3b/bn/scale"
  type: "Scale"
  bottom: "inception_3a/double3x3b"
  top: "inception_3a/double3x3b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3a/relu_double3x3b"
  type: "ReLU"
  bottom: "inception_3a/double3x3b"
  top: "inception_3a/double3x3b"
}
layer {
  name: "inception_3a/pool"
  type: "Pooling"
  bottom: "pool2/3x3_s2"
  top: "inception_3a/pool"
  pooling_param {
    pool: AVE
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_3a/pool_proj"
  type: "Convolution"
  bottom: "inception_3a/pool"
  top: "inception_3a/pool_proj"
  convolution_param {
    num_output: 32
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_3a/pool_proj/bn"
  type: "BatchNorm"
  bottom: "inception_3a/pool_proj"
  top: "inception_3a/pool_proj"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3a/pool_proj/bn/scale"
  type: "Scale"
  bottom: "inception_3a/pool_proj"
  top: "inception_3a/pool_proj"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3a/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_3a/pool_proj"
  top: "inception_3a/pool_proj"
}
layer {
  name: "inception_3a/concat"
  type: "Concat"
  bottom: "inception_3a/1x1"
  bottom: "inception_3a/3x3"
  bottom: "inception_3a/double3x3b"
  bottom: "inception_3a/pool_proj"
  top: "inception_3a/concat"
}
layer {
  name: "inception_3a_global_pool"
  type: "Pooling"
  bottom: "inception_3a/concat"
  top: "inception_3a_global_pool"
  pooling_param {
    pool: AVE
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "inception_3a_1x1_down"
  type: "Convolution"
  bottom: "inception_3a_global_pool"
  top: "inception_3a_1x1_down"
  convolution_param {
    num_output: 16
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_3a_1x1_down/relu"
  type: "ReLU"
  bottom: "inception_3a_1x1_down"
  top: "inception_3a_1x1_down"
}
layer {
  name: "inception_3a_1x1_up"
  type: "Convolution"
  bottom: "inception_3a_1x1_down"
  top: "inception_3a_1x1_up"
  convolution_param {
    num_output: 256
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_3a_prob"
  type: "Sigmoid"
  bottom: "inception_3a_1x1_up"
  top: "inception_3a_1x1_up"
}
layer {
  name: "inception_3a_prob_reshape"
  type: "Reshape"
  bottom: "inception_3a_1x1_up"
  top: "inception_3a_prob_reshape"
  reshape_param {
    shape {
      dim: 0
      dim: 0
    }
  }
}
layer {
  name: "inception_3a_scale"
  type: "Scale"
  bottom: "inception_3a/concat"
  bottom: "inception_3a_prob_reshape"
  top: "inception_3a/output"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "inception_3b/1x1"
  type: "Convolution"
  bottom: "inception_3a/output"
  top: "inception_3b/1x1"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_3b/1x1/bn"
  type: "BatchNorm"
  bottom: "inception_3b/1x1"
  top: "inception_3b/1x1"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3b/1x1/bn/scale"
  type: "Scale"
  bottom: "inception_3b/1x1"
  top: "inception_3b/1x1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3b/relu_1x1"
  type: "ReLU"
  bottom: "inception_3b/1x1"
  top: "inception_3b/1x1"
}
layer {
  name: "inception_3b/3x3_reduce"
  type: "Convolution"
  bottom: "inception_3a/output"
  top: "inception_3b/3x3_reduce"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_3b/3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_3b/3x3_reduce"
  top: "inception_3b/3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3b/3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_3b/3x3_reduce"
  top: "inception_3b/3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3b/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_3b/3x3_reduce"
  top: "inception_3b/3x3_reduce"
}
layer {
  name: "inception_3b/3x3"
  type: "Convolution"
  bottom: "inception_3b/3x3_reduce"
  top: "inception_3b/3x3"
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_3b/3x3/bn"
  type: "BatchNorm"
  bottom: "inception_3b/3x3"
  top: "inception_3b/3x3"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3b/3x3/bn/scale"
  type: "Scale"
  bottom: "inception_3b/3x3"
  top: "inception_3b/3x3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3b/relu_3x3"
  type: "ReLU"
  bottom: "inception_3b/3x3"
  top: "inception_3b/3x3"
}
layer {
  name: "inception_3b/double3x3_reduce"
  type: "Convolution"
  bottom: "inception_3a/output"
  top: "inception_3b/double3x3_reduce"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_3b/double3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_3b/double3x3_reduce"
  top: "inception_3b/double3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3b/double3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_3b/double3x3_reduce"
  top: "inception_3b/double3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3b/relu_double3x3_reduce"
  type: "ReLU"
  bottom: "inception_3b/double3x3_reduce"
  top: "inception_3b/double3x3_reduce"
}
layer {
  name: "inception_3b/double3x3a"
  type: "Convolution"
  bottom: "inception_3b/double3x3_reduce"
  top: "inception_3b/double3x3a"
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_3b/double3x3a/bn"
  type: "BatchNorm"
  bottom: "inception_3b/double3x3a"
  top: "inception_3b/double3x3a"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3b/double3x3a/bn/scale"
  type: "Scale"
  bottom: "inception_3b/double3x3a"
  top: "inception_3b/double3x3a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3b/relu_double3x3a"
  type: "ReLU"
  bottom: "inception_3b/double3x3a"
  top: "inception_3b/double3x3a"
}
layer {
  name: "inception_3b/double3x3b"
  type: "Convolution"
  bottom: "inception_3b/double3x3a"
  top: "inception_3b/double3x3b"
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_3b/double3x3b/bn"
  type: "BatchNorm"
  bottom: "inception_3b/double3x3b"
  top: "inception_3b/double3x3b"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3b/double3x3b/bn/scale"
  type: "Scale"
  bottom: "inception_3b/double3x3b"
  top: "inception_3b/double3x3b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3b/relu_double3x3b"
  type: "ReLU"
  bottom: "inception_3b/double3x3b"
  top: "inception_3b/double3x3b"
}
layer {
  name: "inception_3b/pool"
  type: "Pooling"
  bottom: "inception_3a/output"
  top: "inception_3b/pool"
  pooling_param {
    pool: AVE
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_3b/pool_proj"
  type: "Convolution"
  bottom: "inception_3b/pool"
  top: "inception_3b/pool_proj"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_3b/pool_proj/bn"
  type: "BatchNorm"
  bottom: "inception_3b/pool_proj"
  top: "inception_3b/pool_proj"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3b/pool_proj/bn/scale"
  type: "Scale"
  bottom: "inception_3b/pool_proj"
  top: "inception_3b/pool_proj"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3b/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_3b/pool_proj"
  top: "inception_3b/pool_proj"
}
layer {
  name: "inception_3b/concat"
  type: "Concat"
  bottom: "inception_3b/1x1"
  bottom: "inception_3b/3x3"
  bottom: "inception_3b/double3x3b"
  bottom: "inception_3b/pool_proj"
  top: "inception_3b/concat"
}
layer {
  name: "inception_3b_global_pool"
  type: "Pooling"
  bottom: "inception_3b/concat"
  top: "inception_3b_global_pool"
  pooling_param {
    pool: AVE
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "inception_3b_1x1_down"
  type: "Convolution"
  bottom: "inception_3b_global_pool"
  top: "inception_3b_1x1_down"
  convolution_param {
    num_output: 20
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_3b_1x1_down/relu"
  type: "ReLU"
  bottom: "inception_3b_1x1_down"
  top: "inception_3b_1x1_down"
}
layer {
  name: "inception_3b_1x1_up"
  type: "Convolution"
  bottom: "inception_3b_1x1_down"
  top: "inception_3b_1x1_up"
  convolution_param {
    num_output: 320
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_3b_prob"
  type: "Sigmoid"
  bottom: "inception_3b_1x1_up"
  top: "inception_3b_1x1_up"
}
layer {
  name: "inception_3b_prob_reshape"
  type: "Reshape"
  bottom: "inception_3b_1x1_up"
  top: "inception_3b_prob_reshape"
  reshape_param {
    shape {
      dim: 0
      dim: 0
    }
  }
}
layer {
  name: "inception_3b_scale"
  type: "Scale"
  bottom: "inception_3b/concat"
  bottom: "inception_3b_prob_reshape"
  top: "inception_3b/output"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "inception_3c/3x3_reduce"
  type: "Convolution"
  bottom: "inception_3b/output"
  top: "inception_3c/3x3_reduce"
  convolution_param {
    num_output: 128
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_3c/3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_3c/3x3_reduce"
  top: "inception_3c/3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3c/3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_3c/3x3_reduce"
  top: "inception_3c/3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3c/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_3c/3x3_reduce"
  top: "inception_3c/3x3_reduce"
}
layer {
  name: "inception_3c/3x3"
  type: "Convolution"
  bottom: "inception_3c/3x3_reduce"
  top: "inception_3c/3x3"
  convolution_param {
    num_output: 160
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "inception_3c/3x3/bn"
  type: "BatchNorm"
  bottom: "inception_3c/3x3"
  top: "inception_3c/3x3"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3c/3x3/bn/scale"
  type: "Scale"
  bottom: "inception_3c/3x3"
  top: "inception_3c/3x3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3c/relu_3x3"
  type: "ReLU"
  bottom: "inception_3c/3x3"
  top: "inception_3c/3x3"
}
layer {
  name: "inception_3c/double3x3_reduce"
  type: "Convolution"
  bottom: "inception_3b/output"
  top: "inception_3c/double3x3_reduce"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_3c/double3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_3c/double3x3_reduce"
  top: "inception_3c/double3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3c/double3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_3c/double3x3_reduce"
  top: "inception_3c/double3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3c/relu_double3x3_reduce"
  type: "ReLU"
  bottom: "inception_3c/double3x3_reduce"
  top: "inception_3c/double3x3_reduce"
}
layer {
  name: "inception_3c/double3x3a"
  type: "Convolution"
  bottom: "inception_3c/double3x3_reduce"
  top: "inception_3c/double3x3a"
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_3c/double3x3a/bn"
  type: "BatchNorm"
  bottom: "inception_3c/double3x3a"
  top: "inception_3c/double3x3a"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3c/double3x3a/bn/scale"
  type: "Scale"
  bottom: "inception_3c/double3x3a"
  top: "inception_3c/double3x3a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3c/relu_double3x3a"
  type: "ReLU"
  bottom: "inception_3c/double3x3a"
  top: "inception_3c/double3x3a"
}
layer {
  name: "inception_3c/double3x3b"
  type: "Convolution"
  bottom: "inception_3c/double3x3a"
  top: "inception_3c/double3x3b"
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "inception_3c/double3x3b/bn"
  type: "BatchNorm"
  bottom: "inception_3c/double3x3b"
  top: "inception_3c/double3x3b"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_3c/double3x3b/bn/scale"
  type: "Scale"
  bottom: "inception_3c/double3x3b"
  top: "inception_3c/double3x3b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_3c/relu_double3x3b"
  type: "ReLU"
  bottom: "inception_3c/double3x3b"
  top: "inception_3c/double3x3b"
}
layer {
  name: "inception_3c/pool/3x3_s2"
  type: "Pooling"
  bottom: "inception_3b/output"
  top: "inception_3c/pool/3x3_s2"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "inception_3c/concat"
  type: "Concat"
  bottom: "inception_3c/3x3"
  bottom: "inception_3c/double3x3b"
  bottom: "inception_3c/pool/3x3_s2"
  top: "inception_3c/concat"
}
layer {
  name: "inception_3c_global_pool"
  type: "Pooling"
  bottom: "inception_3c/concat"
  top: "inception_3c_global_pool"
  pooling_param {
    pool: AVE
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "inception_3c_1x1_down"
  type: "Convolution"
  bottom: "inception_3c_global_pool"
  top: "inception_3c_1x1_down"
  convolution_param {
    num_output: 36
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_3c_1x1_down/relu"
  type: "ReLU"
  bottom: "inception_3c_1x1_down"
  top: "inception_3c_1x1_down"
}
layer {
  name: "inception_3c_1x1_up"
  type: "Convolution"
  bottom: "inception_3c_1x1_down"
  top: "inception_3c_1x1_up"
  convolution_param {
    num_output: 576
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_3c_prob"
  type: "Sigmoid"
  bottom: "inception_3c_1x1_up"
  top: "inception_3c_1x1_up"
}
layer {
  name: "inception_3c_prob_reshape"
  type: "Reshape"
  bottom: "inception_3c_1x1_up"
  top: "inception_3c_prob_reshape"
  reshape_param {
    shape {
      dim: 0
      dim: 0
    }
  }
}
layer {
  name: "inception_3c_scale"
  type: "Scale"
  bottom: "inception_3c/concat"
  bottom: "inception_3c_prob_reshape"
  top: "inception_3c/output"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "inception_4a/1x1"
  type: "Convolution"
  bottom: "inception_3c/output"
  top: "inception_4a/1x1"
  convolution_param {
    num_output: 224
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4a/1x1/bn"
  type: "BatchNorm"
  bottom: "inception_4a/1x1"
  top: "inception_4a/1x1"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4a/1x1/bn/scale"
  type: "Scale"
  bottom: "inception_4a/1x1"
  top: "inception_4a/1x1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4a/relu_1x1"
  type: "ReLU"
  bottom: "inception_4a/1x1"
  top: "inception_4a/1x1"
}
layer {
  name: "inception_4a/3x3_reduce"
  type: "Convolution"
  bottom: "inception_3c/output"
  top: "inception_4a/3x3_reduce"
  convolution_param {
    num_output: 64
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4a/3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_4a/3x3_reduce"
  top: "inception_4a/3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4a/3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_4a/3x3_reduce"
  top: "inception_4a/3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4a/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4a/3x3_reduce"
  top: "inception_4a/3x3_reduce"
}
layer {
  name: "inception_4a/3x3"
  type: "Convolution"
  bottom: "inception_4a/3x3_reduce"
  top: "inception_4a/3x3"
  convolution_param {
    num_output: 96
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_4a/3x3/bn"
  type: "BatchNorm"
  bottom: "inception_4a/3x3"
  top: "inception_4a/3x3"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4a/3x3/bn/scale"
  type: "Scale"
  bottom: "inception_4a/3x3"
  top: "inception_4a/3x3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4a/relu_3x3"
  type: "ReLU"
  bottom: "inception_4a/3x3"
  top: "inception_4a/3x3"
}
layer {
  name: "inception_4a/double3x3_reduce"
  type: "Convolution"
  bottom: "inception_3c/output"
  top: "inception_4a/double3x3_reduce"
  convolution_param {
    num_output: 96
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4a/double3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_4a/double3x3_reduce"
  top: "inception_4a/double3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4a/double3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_4a/double3x3_reduce"
  top: "inception_4a/double3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4a/relu_double3x3_reduce"
  type: "ReLU"
  bottom: "inception_4a/double3x3_reduce"
  top: "inception_4a/double3x3_reduce"
}
layer {
  name: "inception_4a/double3x3a"
  type: "Convolution"
  bottom: "inception_4a/double3x3_reduce"
  top: "inception_4a/double3x3a"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_4a/double3x3a/bn"
  type: "BatchNorm"
  bottom: "inception_4a/double3x3a"
  top: "inception_4a/double3x3a"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4a/double3x3a/bn/scale"
  type: "Scale"
  bottom: "inception_4a/double3x3a"
  top: "inception_4a/double3x3a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4a/relu_double3x3a"
  type: "ReLU"
  bottom: "inception_4a/double3x3a"
  top: "inception_4a/double3x3a"
}
layer {
  name: "inception_4a/double3x3b"
  type: "Convolution"
  bottom: "inception_4a/double3x3a"
  top: "inception_4a/double3x3b"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_4a/double3x3b/bn"
  type: "BatchNorm"
  bottom: "inception_4a/double3x3b"
  top: "inception_4a/double3x3b"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4a/double3x3b/bn/scale"
  type: "Scale"
  bottom: "inception_4a/double3x3b"
  top: "inception_4a/double3x3b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4a/relu_double3x3b"
  type: "ReLU"
  bottom: "inception_4a/double3x3b"
  top: "inception_4a/double3x3b"
}
layer {
  name: "inception_4a/pool"
  type: "Pooling"
  bottom: "inception_3c/output"
  top: "inception_4a/pool"
  pooling_param {
    pool: AVE
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_4a/pool_proj"
  type: "Convolution"
  bottom: "inception_4a/pool"
  top: "inception_4a/pool_proj"
  convolution_param {
    num_output: 128
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4a/pool_proj/bn"
  type: "BatchNorm"
  bottom: "inception_4a/pool_proj"
  top: "inception_4a/pool_proj"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4a/pool_proj/bn/scale"
  type: "Scale"
  bottom: "inception_4a/pool_proj"
  top: "inception_4a/pool_proj"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4a/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_4a/pool_proj"
  top: "inception_4a/pool_proj"
}
layer {
  name: "inception_4a/concat"
  type: "Concat"
  bottom: "inception_4a/1x1"
  bottom: "inception_4a/3x3"
  bottom: "inception_4a/double3x3b"
  bottom: "inception_4a/pool_proj"
  top: "inception_4a/concat"
}
layer {
  name: "inception_4a_global_pool"
  type: "Pooling"
  bottom: "inception_4a/concat"
  top: "inception_4a_global_pool"
  pooling_param {
    pool: AVE
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "inception_4a_1x1_down"
  type: "Convolution"
  bottom: "inception_4a_global_pool"
  top: "inception_4a_1x1_down"
  convolution_param {
    num_output: 36
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_4a_1x1_down/relu"
  type: "ReLU"
  bottom: "inception_4a_1x1_down"
  top: "inception_4a_1x1_down"
}
layer {
  name: "inception_4a_1x1_up"
  type: "Convolution"
  bottom: "inception_4a_1x1_down"
  top: "inception_4a_1x1_up"
  convolution_param {
    num_output: 576
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_4a_prob"
  type: "Sigmoid"
  bottom: "inception_4a_1x1_up"
  top: "inception_4a_1x1_up"
}
layer {
  name: "inception_4a_prob_reshape"
  type: "Reshape"
  bottom: "inception_4a_1x1_up"
  top: "inception_4a_prob_reshape"
  reshape_param {
    shape {
      dim: 0
      dim: 0
    }
  }
}
layer {
  name: "inception_4a_scale"
  type: "Scale"
  bottom: "inception_4a/concat"
  bottom: "inception_4a_prob_reshape"
  top: "inception_4a/output"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "inception_4b/1x1"
  type: "Convolution"
  bottom: "inception_4a/output"
  top: "inception_4b/1x1"
  convolution_param {
    num_output: 192
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4b/1x1/bn"
  type: "BatchNorm"
  bottom: "inception_4b/1x1"
  top: "inception_4b/1x1"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4b/1x1/bn/scale"
  type: "Scale"
  bottom: "inception_4b/1x1"
  top: "inception_4b/1x1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4b/relu_1x1"
  type: "ReLU"
  bottom: "inception_4b/1x1"
  top: "inception_4b/1x1"
}
layer {
  name: "inception_4b/3x3_reduce"
  type: "Convolution"
  bottom: "inception_4a/output"
  top: "inception_4b/3x3_reduce"
  convolution_param {
    num_output: 96
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4b/3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_4b/3x3_reduce"
  top: "inception_4b/3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4b/3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_4b/3x3_reduce"
  top: "inception_4b/3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4b/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4b/3x3_reduce"
  top: "inception_4b/3x3_reduce"
}
layer {
  name: "inception_4b/3x3"
  type: "Convolution"
  bottom: "inception_4b/3x3_reduce"
  top: "inception_4b/3x3"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_4b/3x3/bn"
  type: "BatchNorm"
  bottom: "inception_4b/3x3"
  top: "inception_4b/3x3"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4b/3x3/bn/scale"
  type: "Scale"
  bottom: "inception_4b/3x3"
  top: "inception_4b/3x3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4b/relu_3x3"
  type: "ReLU"
  bottom: "inception_4b/3x3"
  top: "inception_4b/3x3"
}
layer {
  name: "inception_4b/double3x3_reduce"
  type: "Convolution"
  bottom: "inception_4a/output"
  top: "inception_4b/double3x3_reduce"
  convolution_param {
    num_output: 96
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4b/double3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_4b/double3x3_reduce"
  top: "inception_4b/double3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4b/double3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_4b/double3x3_reduce"
  top: "inception_4b/double3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4b/relu_double3x3_reduce"
  type: "ReLU"
  bottom: "inception_4b/double3x3_reduce"
  top: "inception_4b/double3x3_reduce"
}
layer {
  name: "inception_4b/double3x3a"
  type: "Convolution"
  bottom: "inception_4b/double3x3_reduce"
  top: "inception_4b/double3x3a"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_4b/double3x3a/bn"
  type: "BatchNorm"
  bottom: "inception_4b/double3x3a"
  top: "inception_4b/double3x3a"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4b/double3x3a/bn/scale"
  type: "Scale"
  bottom: "inception_4b/double3x3a"
  top: "inception_4b/double3x3a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4b/relu_double3x3a"
  type: "ReLU"
  bottom: "inception_4b/double3x3a"
  top: "inception_4b/double3x3a"
}
layer {
  name: "inception_4b/double3x3b"
  type: "Convolution"
  bottom: "inception_4b/double3x3a"
  top: "inception_4b/double3x3b"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_4b/double3x3b/bn"
  type: "BatchNorm"
  bottom: "inception_4b/double3x3b"
  top: "inception_4b/double3x3b"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4b/double3x3b/bn/scale"
  type: "Scale"
  bottom: "inception_4b/double3x3b"
  top: "inception_4b/double3x3b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4b/relu_double3x3b"
  type: "ReLU"
  bottom: "inception_4b/double3x3b"
  top: "inception_4b/double3x3b"
}
layer {
  name: "inception_4b/pool"
  type: "Pooling"
  bottom: "inception_4a/output"
  top: "inception_4b/pool"
  pooling_param {
    pool: AVE
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_4b/pool_proj"
  type: "Convolution"
  bottom: "inception_4b/pool"
  top: "inception_4b/pool_proj"
  convolution_param {
    num_output: 128
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4b/pool_proj/bn"
  type: "BatchNorm"
  bottom: "inception_4b/pool_proj"
  top: "inception_4b/pool_proj"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4b/pool_proj/bn/scale"
  type: "Scale"
  bottom: "inception_4b/pool_proj"
  top: "inception_4b/pool_proj"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4b/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_4b/pool_proj"
  top: "inception_4b/pool_proj"
}
layer {
  name: "inception_4b/concat"
  type: "Concat"
  bottom: "inception_4b/1x1"
  bottom: "inception_4b/3x3"
  bottom: "inception_4b/double3x3b"
  bottom: "inception_4b/pool_proj"
  top: "inception_4b/concat"
}
layer {
  name: "inception_4b_global_pool"
  type: "Pooling"
  bottom: "inception_4b/concat"
  top: "inception_4b_global_pool"
  pooling_param {
    pool: AVE
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "inception_4b_1x1_down"
  type: "Convolution"
  bottom: "inception_4b_global_pool"
  top: "inception_4b_1x1_down"
  convolution_param {
    num_output: 36
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_4b_1x1_down/relu"
  type: "ReLU"
  bottom: "inception_4b_1x1_down"
  top: "inception_4b_1x1_down"
}
layer {
  name: "inception_4b_1x1_up"
  type: "Convolution"
  bottom: "inception_4b_1x1_down"
  top: "inception_4b_1x1_up"
  convolution_param {
    num_output: 576
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_4b_prob"
  type: "Sigmoid"
  bottom: "inception_4b_1x1_up"
  top: "inception_4b_1x1_up"
}
layer {
  name: "inception_4b_prob_reshape"
  type: "Reshape"
  bottom: "inception_4b_1x1_up"
  top: "inception_4b_prob_reshape"
  reshape_param {
    shape {
      dim: 0
      dim: 0
    }
  }
}
layer {
  name: "inception_4b_scale"
  type: "Scale"
  bottom: "inception_4b/concat"
  bottom: "inception_4b_prob_reshape"
  top: "inception_4b/output"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "inception_4c/1x1"
  type: "Convolution"
  bottom: "inception_4b/output"
  top: "inception_4c/1x1"
  convolution_param {
    num_output: 160
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4c/1x1/bn"
  type: "BatchNorm"
  bottom: "inception_4c/1x1"
  top: "inception_4c/1x1"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4c/1x1/bn/scale"
  type: "Scale"
  bottom: "inception_4c/1x1"
  top: "inception_4c/1x1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4c/relu_1x1"
  type: "ReLU"
  bottom: "inception_4c/1x1"
  top: "inception_4c/1x1"
}
layer {
  name: "inception_4c/3x3_reduce"
  type: "Convolution"
  bottom: "inception_4b/output"
  top: "inception_4c/3x3_reduce"
  convolution_param {
    num_output: 128
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4c/3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_4c/3x3_reduce"
  top: "inception_4c/3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4c/3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_4c/3x3_reduce"
  top: "inception_4c/3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4c/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4c/3x3_reduce"
  top: "inception_4c/3x3_reduce"
}
layer {
  name: "inception_4c/3x3"
  type: "Convolution"
  bottom: "inception_4c/3x3_reduce"
  top: "inception_4c/3x3"
  convolution_param {
    num_output: 160
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_4c/3x3/bn"
  type: "BatchNorm"
  bottom: "inception_4c/3x3"
  top: "inception_4c/3x3"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4c/3x3/bn/scale"
  type: "Scale"
  bottom: "inception_4c/3x3"
  top: "inception_4c/3x3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4c/relu_3x3"
  type: "ReLU"
  bottom: "inception_4c/3x3"
  top: "inception_4c/3x3"
}
layer {
  name: "inception_4c/double3x3_reduce"
  type: "Convolution"
  bottom: "inception_4b/output"
  top: "inception_4c/double3x3_reduce"
  convolution_param {
    num_output: 128
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4c/double3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_4c/double3x3_reduce"
  top: "inception_4c/double3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4c/double3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_4c/double3x3_reduce"
  top: "inception_4c/double3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4c/relu_double3x3_reduce"
  type: "ReLU"
  bottom: "inception_4c/double3x3_reduce"
  top: "inception_4c/double3x3_reduce"
}
layer {
  name: "inception_4c/double3x3a"
  type: "Convolution"
  bottom: "inception_4c/double3x3_reduce"
  top: "inception_4c/double3x3a"
  convolution_param {
    num_output: 160
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_4c/double3x3a/bn"
  type: "BatchNorm"
  bottom: "inception_4c/double3x3a"
  top: "inception_4c/double3x3a"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4c/double3x3a/bn/scale"
  type: "Scale"
  bottom: "inception_4c/double3x3a"
  top: "inception_4c/double3x3a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4c/relu_double3x3a"
  type: "ReLU"
  bottom: "inception_4c/double3x3a"
  top: "inception_4c/double3x3a"
}
layer {
  name: "inception_4c/double3x3b"
  type: "Convolution"
  bottom: "inception_4c/double3x3a"
  top: "inception_4c/double3x3b"
  convolution_param {
    num_output: 160
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_4c/double3x3b/bn"
  type: "BatchNorm"
  bottom: "inception_4c/double3x3b"
  top: "inception_4c/double3x3b"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4c/double3x3b/bn/scale"
  type: "Scale"
  bottom: "inception_4c/double3x3b"
  top: "inception_4c/double3x3b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4c/relu_double3x3b"
  type: "ReLU"
  bottom: "inception_4c/double3x3b"
  top: "inception_4c/double3x3b"
}
layer {
  name: "inception_4c/pool"
  type: "Pooling"
  bottom: "inception_4b/output"
  top: "inception_4c/pool"
  pooling_param {
    pool: AVE
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_4c/pool_proj"
  type: "Convolution"
  bottom: "inception_4c/pool"
  top: "inception_4c/pool_proj"
  convolution_param {
    num_output: 128
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4c/pool_proj/bn"
  type: "BatchNorm"
  bottom: "inception_4c/pool_proj"
  top: "inception_4c/pool_proj"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4c/pool_proj/bn/scale"
  type: "Scale"
  bottom: "inception_4c/pool_proj"
  top: "inception_4c/pool_proj"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4c/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_4c/pool_proj"
  top: "inception_4c/pool_proj"
}
layer {
  name: "inception_4c/concat"
  type: "Concat"
  bottom: "inception_4c/1x1"
  bottom: "inception_4c/3x3"
  bottom: "inception_4c/double3x3b"
  bottom: "inception_4c/pool_proj"
  top: "inception_4c/concat"
}
layer {
  name: "inception_4c_global_pool"
  type: "Pooling"
  bottom: "inception_4c/concat"
  top: "inception_4c_global_pool"
  pooling_param {
    pool: AVE
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "inception_4c_1x1_down"
  type: "Convolution"
  bottom: "inception_4c_global_pool"
  top: "inception_4c_1x1_down"
  convolution_param {
    num_output: 38
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_4c_1x1_down/relu"
  type: "ReLU"
  bottom: "inception_4c_1x1_down"
  top: "inception_4c_1x1_down"
}
layer {
  name: "inception_4c_1x1_up"
  type: "Convolution"
  bottom: "inception_4c_1x1_down"
  top: "inception_4c_1x1_up"
  convolution_param {
    num_output: 608
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_4c_prob"
  type: "Sigmoid"
  bottom: "inception_4c_1x1_up"
  top: "inception_4c_1x1_up"
}
layer {
  name: "inception_4c_prob_reshape"
  type: "Reshape"
  bottom: "inception_4c_1x1_up"
  top: "inception_4c_prob_reshape"
  reshape_param {
    shape {
      dim: 0
      dim: 0
    }
  }
}
layer {
  name: "inception_4c_scale"
  type: "Scale"
  bottom: "inception_4c/concat"
  bottom: "inception_4c_prob_reshape"
  top: "inception_4c/output"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "inception_4d/1x1"
  type: "Convolution"
  bottom: "inception_4c/output"
  top: "inception_4d/1x1"
  convolution_param {
    num_output: 96
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4d/1x1/bn"
  type: "BatchNorm"
  bottom: "inception_4d/1x1"
  top: "inception_4d/1x1"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4d/1x1/bn/scale"
  type: "Scale"
  bottom: "inception_4d/1x1"
  top: "inception_4d/1x1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4d/relu_1x1"
  type: "ReLU"
  bottom: "inception_4d/1x1"
  top: "inception_4d/1x1"
}
layer {
  name: "inception_4d/3x3_reduce"
  type: "Convolution"
  bottom: "inception_4c/output"
  top: "inception_4d/3x3_reduce"
  convolution_param {
    num_output: 128
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4d/3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_4d/3x3_reduce"
  top: "inception_4d/3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4d/3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_4d/3x3_reduce"
  top: "inception_4d/3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4d/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4d/3x3_reduce"
  top: "inception_4d/3x3_reduce"
}
layer {
  name: "inception_4d/3x3"
  type: "Convolution"
  bottom: "inception_4d/3x3_reduce"
  top: "inception_4d/3x3"
  convolution_param {
    num_output: 192
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_4d/3x3/bn"
  type: "BatchNorm"
  bottom: "inception_4d/3x3"
  top: "inception_4d/3x3"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4d/3x3/bn/scale"
  type: "Scale"
  bottom: "inception_4d/3x3"
  top: "inception_4d/3x3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4d/relu_3x3"
  type: "ReLU"
  bottom: "inception_4d/3x3"
  top: "inception_4d/3x3"
}
layer {
  name: "inception_4d/double3x3_reduce"
  type: "Convolution"
  bottom: "inception_4c/output"
  top: "inception_4d/double3x3_reduce"
  convolution_param {
    num_output: 160
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4d/double3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_4d/double3x3_reduce"
  top: "inception_4d/double3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4d/double3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_4d/double3x3_reduce"
  top: "inception_4d/double3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4d/relu_double3x3_reduce"
  type: "ReLU"
  bottom: "inception_4d/double3x3_reduce"
  top: "inception_4d/double3x3_reduce"
}
layer {
  name: "inception_4d/double3x3a"
  type: "Convolution"
  bottom: "inception_4d/double3x3_reduce"
  top: "inception_4d/double3x3a"
  convolution_param {
    num_output: 192
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_4d/double3x3a/bn"
  type: "BatchNorm"
  bottom: "inception_4d/double3x3a"
  top: "inception_4d/double3x3a"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4d/double3x3a/bn/scale"
  type: "Scale"
  bottom: "inception_4d/double3x3a"
  top: "inception_4d/double3x3a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4d/relu_double3x3a"
  type: "ReLU"
  bottom: "inception_4d/double3x3a"
  top: "inception_4d/double3x3a"
}
layer {
  name: "inception_4d/double3x3b"
  type: "Convolution"
  bottom: "inception_4d/double3x3a"
  top: "inception_4d/double3x3b"
  convolution_param {
    num_output: 192
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_4d/double3x3b/bn"
  type: "BatchNorm"
  bottom: "inception_4d/double3x3b"
  top: "inception_4d/double3x3b"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4d/double3x3b/bn/scale"
  type: "Scale"
  bottom: "inception_4d/double3x3b"
  top: "inception_4d/double3x3b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4d/relu_double3x3b"
  type: "ReLU"
  bottom: "inception_4d/double3x3b"
  top: "inception_4d/double3x3b"
}
layer {
  name: "inception_4d/pool"
  type: "Pooling"
  bottom: "inception_4c/output"
  top: "inception_4d/pool"
  pooling_param {
    pool: AVE
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_4d/pool_proj"
  type: "Convolution"
  bottom: "inception_4d/pool"
  top: "inception_4d/pool_proj"
  convolution_param {
    num_output: 128
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4d/pool_proj/bn"
  type: "BatchNorm"
  bottom: "inception_4d/pool_proj"
  top: "inception_4d/pool_proj"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4d/pool_proj/bn/scale"
  type: "Scale"
  bottom: "inception_4d/pool_proj"
  top: "inception_4d/pool_proj"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4d/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_4d/pool_proj"
  top: "inception_4d/pool_proj"
}
layer {
  name: "inception_4d/concat"
  type: "Concat"
  bottom: "inception_4d/1x1"
  bottom: "inception_4d/3x3"
  bottom: "inception_4d/double3x3b"
  bottom: "inception_4d/pool_proj"
  top: "inception_4d/concat"
}
layer {
  name: "inception_4d_global_pool"
  type: "Pooling"
  bottom: "inception_4d/concat"
  top: "inception_4d_global_pool"
  pooling_param {
    pool: AVE
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "inception_4d_1x1_down"
  type: "Convolution"
  bottom: "inception_4d_global_pool"
  top: "inception_4d_1x1_down"
  convolution_param {
    num_output: 38
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_4d_1x1_down/relu"
  type: "ReLU"
  bottom: "inception_4d_1x1_down"
  top: "inception_4d_1x1_down"
}
layer {
  name: "inception_4d_1x1_up"
  type: "Convolution"
  bottom: "inception_4d_1x1_down"
  top: "inception_4d_1x1_up"
  convolution_param {
    num_output: 608
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_4d_prob"
  type: "Sigmoid"
  bottom: "inception_4d_1x1_up"
  top: "inception_4d_1x1_up"
}
layer {
  name: "inception_4d_prob_reshape"
  type: "Reshape"
  bottom: "inception_4d_1x1_up"
  top: "inception_4d_prob_reshape"
  reshape_param {
    shape {
      dim: 0
      dim: 0
    }
  }
}
layer {
  name: "inception_4d_scale"
  type: "Scale"
  bottom: "inception_4d/concat"
  bottom: "inception_4d_prob_reshape"
  top: "inception_4d/output"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "inception_4e/3x3_reduce"
  type: "Convolution"
  bottom: "inception_4d/output"
  top: "inception_4e/3x3_reduce"
  convolution_param {
    num_output: 128
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4e/3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_4e/3x3_reduce"
  top: "inception_4e/3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4e/3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_4e/3x3_reduce"
  top: "inception_4e/3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4e/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4e/3x3_reduce"
  top: "inception_4e/3x3_reduce"
}
layer {
  name: "inception_4e/3x3"
  type: "Convolution"
  bottom: "inception_4e/3x3_reduce"
  top: "inception_4e/3x3"
  convolution_param {
    num_output: 192
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "inception_4e/3x3/bn"
  type: "BatchNorm"
  bottom: "inception_4e/3x3"
  top: "inception_4e/3x3"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4e/3x3/bn/scale"
  type: "Scale"
  bottom: "inception_4e/3x3"
  top: "inception_4e/3x3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4e/relu_3x3"
  type: "ReLU"
  bottom: "inception_4e/3x3"
  top: "inception_4e/3x3"
}
layer {
  name: "inception_4e/double3x3_reduce"
  type: "Convolution"
  bottom: "inception_4d/output"
  top: "inception_4e/double3x3_reduce"
  convolution_param {
    num_output: 192
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_4e/double3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_4e/double3x3_reduce"
  top: "inception_4e/double3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4e/double3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_4e/double3x3_reduce"
  top: "inception_4e/double3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4e/relu_double3x3_reduce"
  type: "ReLU"
  bottom: "inception_4e/double3x3_reduce"
  top: "inception_4e/double3x3_reduce"
}
layer {
  name: "inception_4e/double3x3a"
  type: "Convolution"
  bottom: "inception_4e/double3x3_reduce"
  top: "inception_4e/double3x3a"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_4e/double3x3a/bn"
  type: "BatchNorm"
  bottom: "inception_4e/double3x3a"
  top: "inception_4e/double3x3a"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4e/double3x3a/bn/scale"
  type: "Scale"
  bottom: "inception_4e/double3x3a"
  top: "inception_4e/double3x3a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4e/relu_double3x3a"
  type: "ReLU"
  bottom: "inception_4e/double3x3a"
  top: "inception_4e/double3x3a"
}
layer {
  name: "inception_4e/double3x3b"
  type: "Convolution"
  bottom: "inception_4e/double3x3a"
  top: "inception_4e/double3x3b"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "inception_4e/double3x3b/bn"
  type: "BatchNorm"
  bottom: "inception_4e/double3x3b"
  top: "inception_4e/double3x3b"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_4e/double3x3b/bn/scale"
  type: "Scale"
  bottom: "inception_4e/double3x3b"
  top: "inception_4e/double3x3b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_4e/relu_double3x3b"
  type: "ReLU"
  bottom: "inception_4e/double3x3b"
  top: "inception_4e/double3x3b"
}
layer {
  name: "inception_4e/pool/3x3_s2"
  type: "Pooling"
  bottom: "inception_4d/output"
  top: "inception_4e/pool/3x3_s2"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "inception_4e/concat"
  type: "Concat"
  bottom: "inception_4e/3x3"
  bottom: "inception_4e/double3x3b"
  bottom: "inception_4e/pool/3x3_s2"
  top: "inception_4e/concat"
}
layer {
  name: "inception_4e_global_pool"
  type: "Pooling"
  bottom: "inception_4e/concat"
  top: "inception_4e_global_pool"
  pooling_param {
    pool: AVE
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "inception_4e_1x1_down"
  type: "Convolution"
  bottom: "inception_4e_global_pool"
  top: "inception_4e_1x1_down"
  convolution_param {
    num_output: 66
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_4e_1x1_down/relu"
  type: "ReLU"
  bottom: "inception_4e_1x1_down"
  top: "inception_4e_1x1_down"
}
layer {
  name: "inception_4e_1x1_up"
  type: "Convolution"
  bottom: "inception_4e_1x1_down"
  top: "inception_4e_1x1_up"
  convolution_param {
    num_output: 1056
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_4e_prob"
  type: "Sigmoid"
  bottom: "inception_4e_1x1_up"
  top: "inception_4e_1x1_up"
}
layer {
  name: "inception_4e_prob_reshape"
  type: "Reshape"
  bottom: "inception_4e_1x1_up"
  top: "inception_4e_prob_reshape"
  reshape_param {
    shape {
      dim: 0
      dim: 0
    }
  }
}
layer {
  name: "inception_4e_scale"
  type: "Scale"
  bottom: "inception_4e/concat"
  bottom: "inception_4e_prob_reshape"
  top: "inception_4e/output"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "inception_5a/1x1"
  type: "Convolution"
  bottom: "inception_4e/output"
  top: "inception_5a/1x1"
  convolution_param {
    num_output: 352
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_5a/1x1/bn"
  type: "BatchNorm"
  bottom: "inception_5a/1x1"
  top: "inception_5a/1x1"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_5a/1x1/bn/scale"
  type: "Scale"
  bottom: "inception_5a/1x1"
  top: "inception_5a/1x1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_5a/relu_1x1"
  type: "ReLU"
  bottom: "inception_5a/1x1"
  top: "inception_5a/1x1"
}
layer {
  name: "inception_5a/3x3_reduce"
  type: "Convolution"
  bottom: "inception_4e/output"
  top: "inception_5a/3x3_reduce"
  convolution_param {
    num_output: 192
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_5a/3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_5a/3x3_reduce"
  top: "inception_5a/3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_5a/3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_5a/3x3_reduce"
  top: "inception_5a/3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_5a/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_5a/3x3_reduce"
  top: "inception_5a/3x3_reduce"
}
layer {
  name: "inception_5a/3x3"
  type: "Convolution"
  bottom: "inception_5a/3x3_reduce"
  top: "inception_5a/3x3"
  convolution_param {
    num_output: 320
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_5a/3x3/bn"
  type: "BatchNorm"
  bottom: "inception_5a/3x3"
  top: "inception_5a/3x3"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_5a/3x3/bn/scale"
  type: "Scale"
  bottom: "inception_5a/3x3"
  top: "inception_5a/3x3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_5a/relu_3x3"
  type: "ReLU"
  bottom: "inception_5a/3x3"
  top: "inception_5a/3x3"
}
layer {
  name: "inception_5a/double3x3_reduce"
  type: "Convolution"
  bottom: "inception_4e/output"
  top: "inception_5a/double3x3_reduce"
  convolution_param {
    num_output: 160
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_5a/double3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_5a/double3x3_reduce"
  top: "inception_5a/double3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_5a/double3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_5a/double3x3_reduce"
  top: "inception_5a/double3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_5a/relu_double3x3_reduce"
  type: "ReLU"
  bottom: "inception_5a/double3x3_reduce"
  top: "inception_5a/double3x3_reduce"
}
layer {
  name: "inception_5a/double3x3a"
  type: "Convolution"
  bottom: "inception_5a/double3x3_reduce"
  top: "inception_5a/double3x3a"
  convolution_param {
    num_output: 224
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_5a/double3x3a/bn"
  type: "BatchNorm"
  bottom: "inception_5a/double3x3a"
  top: "inception_5a/double3x3a"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_5a/double3x3a/bn/scale"
  type: "Scale"
  bottom: "inception_5a/double3x3a"
  top: "inception_5a/double3x3a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_5a/relu_double3x3a"
  type: "ReLU"
  bottom: "inception_5a/double3x3a"
  top: "inception_5a/double3x3a"
}
layer {
  name: "inception_5a/double3x3b"
  type: "Convolution"
  bottom: "inception_5a/double3x3a"
  top: "inception_5a/double3x3b"
  convolution_param {
    num_output: 224
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_5a/double3x3b/bn"
  type: "BatchNorm"
  bottom: "inception_5a/double3x3b"
  top: "inception_5a/double3x3b"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_5a/double3x3b/bn/scale"
  type: "Scale"
  bottom: "inception_5a/double3x3b"
  top: "inception_5a/double3x3b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_5a/relu_double3x3b"
  type: "ReLU"
  bottom: "inception_5a/double3x3b"
  top: "inception_5a/double3x3b"
}
layer {
  name: "inception_5a/pool"
  type: "Pooling"
  bottom: "inception_4e/output"
  top: "inception_5a/pool"
  pooling_param {
    pool: AVE
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_5a/pool_proj"
  type: "Convolution"
  bottom: "inception_5a/pool"
  top: "inception_5a/pool_proj"
  convolution_param {
    num_output: 128
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_5a/pool_proj/bn"
  type: "BatchNorm"
  bottom: "inception_5a/pool_proj"
  top: "inception_5a/pool_proj"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_5a/pool_proj/bn/scale"
  type: "Scale"
  bottom: "inception_5a/pool_proj"
  top: "inception_5a/pool_proj"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_5a/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_5a/pool_proj"
  top: "inception_5a/pool_proj"
}
layer {
  name: "inception_5a/concat"
  type: "Concat"
  bottom: "inception_5a/1x1"
  bottom: "inception_5a/3x3"
  bottom: "inception_5a/double3x3b"
  bottom: "inception_5a/pool_proj"
  top: "inception_5a/concat"
}
layer {
  name: "inception_5a_global_pool"
  type: "Pooling"
  bottom: "inception_5a/concat"
  top: "inception_5a_global_pool"
  pooling_param {
    pool: AVE
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "inception_5a_1x1_down"
  type: "Convolution"
  bottom: "inception_5a_global_pool"
  top: "inception_5a_1x1_down"
  convolution_param {
    num_output: 64
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_5a_1x1_down/relu"
  type: "ReLU"
  bottom: "inception_5a_1x1_down"
  top: "inception_5a_1x1_down"
}
layer {
  name: "inception_5a_1x1_up"
  type: "Convolution"
  bottom: "inception_5a_1x1_down"
  top: "inception_5a_1x1_up"
  convolution_param {
    num_output: 1024
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_5a_prob"
  type: "Sigmoid"
  bottom: "inception_5a_1x1_up"
  top: "inception_5a_1x1_up"
}
layer {
  name: "inception_5a_prob_reshape"
  type: "Reshape"
  bottom: "inception_5a_1x1_up"
  top: "inception_5a_prob_reshape"
  reshape_param {
    shape {
      dim: 0
      dim: 0
    }
  }
}
layer {
  name: "inception_5a_scale"
  type: "Scale"
  bottom: "inception_5a/concat"
  bottom: "inception_5a_prob_reshape"
  top: "inception_5a/output"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "inception_5b/1x1"
  type: "Convolution"
  bottom: "inception_5a/output"
  top: "inception_5b/1x1"
  convolution_param {
    num_output: 352
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_5b/1x1/bn"
  type: "BatchNorm"
  bottom: "inception_5b/1x1"
  top: "inception_5b/1x1"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_5b/1x1/bn/scale"
  type: "Scale"
  bottom: "inception_5b/1x1"
  top: "inception_5b/1x1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_5b/relu_1x1"
  type: "ReLU"
  bottom: "inception_5b/1x1"
  top: "inception_5b/1x1"
}
layer {
  name: "inception_5b/3x3_reduce"
  type: "Convolution"
  bottom: "inception_5a/output"
  top: "inception_5b/3x3_reduce"
  convolution_param {
    num_output: 192
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_5b/3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_5b/3x3_reduce"
  top: "inception_5b/3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_5b/3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_5b/3x3_reduce"
  top: "inception_5b/3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_5b/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_5b/3x3_reduce"
  top: "inception_5b/3x3_reduce"
}
layer {
  name: "inception_5b/3x3"
  type: "Convolution"
  bottom: "inception_5b/3x3_reduce"
  top: "inception_5b/3x3"
  convolution_param {
    num_output: 320
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_5b/3x3/bn"
  type: "BatchNorm"
  bottom: "inception_5b/3x3"
  top: "inception_5b/3x3"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_5b/3x3/bn/scale"
  type: "Scale"
  bottom: "inception_5b/3x3"
  top: "inception_5b/3x3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_5b/relu_3x3"
  type: "ReLU"
  bottom: "inception_5b/3x3"
  top: "inception_5b/3x3"
}
layer {
  name: "inception_5b/double3x3_reduce"
  type: "Convolution"
  bottom: "inception_5a/output"
  top: "inception_5b/double3x3_reduce"
  convolution_param {
    num_output: 192
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_5b/double3x3_reduce/bn"
  type: "BatchNorm"
  bottom: "inception_5b/double3x3_reduce"
  top: "inception_5b/double3x3_reduce"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_5b/double3x3_reduce/bn/scale"
  type: "Scale"
  bottom: "inception_5b/double3x3_reduce"
  top: "inception_5b/double3x3_reduce"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_5b/relu_double3x3_reduce"
  type: "ReLU"
  bottom: "inception_5b/double3x3_reduce"
  top: "inception_5b/double3x3_reduce"
}
layer {
  name: "inception_5b/double3x3a"
  type: "Convolution"
  bottom: "inception_5b/double3x3_reduce"
  top: "inception_5b/double3x3a"
  convolution_param {
    num_output: 224
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_5b/double3x3a/bn"
  type: "BatchNorm"
  bottom: "inception_5b/double3x3a"
  top: "inception_5b/double3x3a"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_5b/double3x3a/bn/scale"
  type: "Scale"
  bottom: "inception_5b/double3x3a"
  top: "inception_5b/double3x3a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_5b/relu_double3x3a"
  type: "ReLU"
  bottom: "inception_5b/double3x3a"
  top: "inception_5b/double3x3a"
}
layer {
  name: "inception_5b/double3x3b"
  type: "Convolution"
  bottom: "inception_5b/double3x3a"
  top: "inception_5b/double3x3b"
  convolution_param {
    num_output: 224
    bias_term: false
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "inception_5b/double3x3b/bn"
  type: "BatchNorm"
  bottom: "inception_5b/double3x3b"
  top: "inception_5b/double3x3b"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_5b/double3x3b/bn/scale"
  type: "Scale"
  bottom: "inception_5b/double3x3b"
  top: "inception_5b/double3x3b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_5b/relu_double3x3b"
  type: "ReLU"
  bottom: "inception_5b/double3x3b"
  top: "inception_5b/double3x3b"
}
layer {
  name: "inception_5b/pool"
  type: "Pooling"
  bottom: "inception_5a/output"
  top: "inception_5b/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_5b/pool_proj"
  type: "Convolution"
  bottom: "inception_5b/pool"
  top: "inception_5b/pool_proj"
  convolution_param {
    num_output: 128
    bias_term: false
    kernel_size: 1
  }
}
layer {
  name: "inception_5b/pool_proj/bn"
  type: "BatchNorm"
  bottom: "inception_5b/pool_proj"
  top: "inception_5b/pool_proj"
  batch_norm_param {
    use_global_stats: true
  }
}
layer {
  name: "inception_5b/pool_proj/bn/scale"
  type: "Scale"
  bottom: "inception_5b/pool_proj"
  top: "inception_5b/pool_proj"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "inception_5b/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_5b/pool_proj"
  top: "inception_5b/pool_proj"
}
layer {
  name: "inception_5b/concat"
  type: "Concat"
  bottom: "inception_5b/1x1"
  bottom: "inception_5b/3x3"
  bottom: "inception_5b/double3x3b"
  bottom: "inception_5b/pool_proj"
  top: "inception_5b/concat"
}
layer {
  name: "inception_5b_global_pool"
  type: "Pooling"
  bottom: "inception_5b/concat"
  top: "inception_5b_global_pool"
  pooling_param {
    pool: AVE
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "inception_5b_1x1_down"
  type: "Convolution"
  bottom: "inception_5b_global_pool"
  top: "inception_5b_1x1_down"
  convolution_param {
    num_output: 64
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_5b_1x1_down/relu"
  type: "ReLU"
  bottom: "inception_5b_1x1_down"
  top: "inception_5b_1x1_down"
}
layer {
  name: "inception_5b_1x1_up"
  type: "Convolution"
  bottom: "inception_5b_1x1_down"
  top: "inception_5b_1x1_up"
  convolution_param {
    num_output: 1024
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "inception_5b_prob"
  type: "Sigmoid"
  bottom: "inception_5b_1x1_up"
  top: "inception_5b_1x1_up"
}
layer {
  name: "inception_5b_prob_reshape"
  type: "Reshape"
  bottom: "inception_5b_1x1_up"
  top: "inception_5b_prob_reshape"
  reshape_param {
    shape {
      dim: 0
      dim: 0
    }
  }
}
layer {
  name: "inception_5b_scale"
  type: "Scale"
  bottom: "inception_5b/concat"
  bottom: "inception_5b_prob_reshape"
  top: "inception_5b/output"
  scale_param {
    axis: 0
    bias_term: false
  }
}
layer {
  name: "pool5/7x7_s1"
  type: "Pooling"
  bottom: "inception_5b/output"
  top: "pool5/7x7_s1"
  pooling_param {
    pool: AVE
    kernel_size: 7
    stride: 1
  }
}
layer {
  name: "classifier"
  type: "InnerProduct"
  bottom: "pool5/7x7_s1"
  top: "classifier"
  inner_product_param {
    num_output: 1000
  }
}
layer {
  name: "prob"
  type: "Softmax"
  bottom: "classifier"
  top: "prob"
}