--- /dev/null
+name: "CaffeNet"
+layers {
+ layer {
+ name: "data"
+ type: "data"
+ source: "/home/jiayq/caffe-val-leveldb"
+ meanfile: "/home/jiayq/ilsvrc2012_mean.binaryproto"
+ batchsize: 100
+ cropsize: 227
+ mirror: false
+ }
+ top: "data"
+ top: "label"
+}
+layers {
+ layer {
+ name: "conv1"
+ type: "conv"
+ num_output: 96
+ kernelsize: 11
+ stride: 4
+ }
+ bottom: "data"
+ top: "conv1"
+}
+layers {
+ layer {
+ name: "relu1"
+ type: "relu"
+ }
+ bottom: "conv1"
+ top: "conv1"
+}
+layers {
+ layer {
+ name: "pool1"
+ type: "pool"
+ pool: MAX
+ kernelsize: 3
+ stride: 2
+ }
+ bottom: "conv1"
+ top: "pool1"
+}
+layers {
+ layer {
+ name: "norm1"
+ type: "lrn"
+ local_size: 5
+ alpha: 0.0001
+ beta: 0.75
+ }
+ bottom: "pool1"
+ top: "norm1"
+}
+layers {
+ layer {
+ name: "pad2"
+ type: "padding"
+ pad: 2
+ }
+ bottom: "norm1"
+ top: "pad2"
+}
+layers {
+ layer {
+ name: "conv2"
+ type: "conv"
+ num_output: 256
+ group: 2
+ kernelsize: 5
+ }
+ bottom: "pad2"
+ top: "conv2"
+}
+layers {
+ layer {
+ name: "relu2"
+ type: "relu"
+ }
+ bottom: "conv2"
+ top: "conv2"
+}
+layers {
+ layer {
+ name: "pool2"
+ type: "pool"
+ pool: MAX
+ kernelsize: 3
+ stride: 2
+ }
+ bottom: "conv2"
+ top: "pool2"
+}
+layers {
+ layer {
+ name: "norm2"
+ type: "lrn"
+ local_size: 5
+ alpha: 0.0001
+ beta: 0.75
+ }
+ bottom: "pool2"
+ top: "norm2"
+}
+layers {
+ layer {
+ name: "pad3"
+ type: "padding"
+ pad: 1
+ }
+ bottom: "norm2"
+ top: "pad3"
+}
+layers {
+ layer {
+ name: "conv3"
+ type: "conv"
+ num_output: 384
+ kernelsize: 3
+ }
+ bottom: "pad3"
+ top: "conv3"
+}
+layers {
+ layer {
+ name: "relu3"
+ type: "relu"
+ }
+ bottom: "conv3"
+ top: "conv3"
+}
+layers {
+ layer {
+ name: "pad4"
+ type: "padding"
+ pad: 1
+ }
+ bottom: "conv3"
+ top: "pad4"
+}
+layers {
+ layer {
+ name: "conv4"
+ type: "conv"
+ num_output: 384
+ group: 2
+ kernelsize: 3
+ }
+ bottom: "pad4"
+ top: "conv4"
+}
+layers {
+ layer {
+ name: "relu4"
+ type: "relu"
+ }
+ bottom: "conv4"
+ top: "conv4"
+}
+layers {
+ layer {
+ name: "pad5"
+ type: "padding"
+ pad: 1
+ }
+ bottom: "conv4"
+ top: "pad5"
+}
+layers {
+ layer {
+ name: "conv5"
+ type: "conv"
+ num_output: 256
+ group: 2
+ kernelsize: 3
+ }
+ bottom: "pad5"
+ top: "conv5"
+}
+layers {
+ layer {
+ name: "relu5"
+ type: "relu"
+ }
+ bottom: "conv5"
+ top: "conv5"
+}
+layers {
+ layer {
+ name: "pool5"
+ type: "pool"
+ kernelsize: 3
+ pool: MAX
+ stride: 2
+ }
+ bottom: "conv5"
+ top: "pool5"
+}
+layers {
+ layer {
+ name: "fc6"
+ type: "innerproduct"
+ num_output: 4096
+ }
+ bottom: "pool5"
+ top: "fc6"
+}
+layers {
+ layer {
+ name: "relu6"
+ type: "relu"
+ }
+ bottom: "fc6"
+ top: "fc6"
+}
+layers {
+ layer {
+ name: "drop6"
+ type: "dropout"
+ dropout_ratio: 0.5
+ }
+ bottom: "fc6"
+ top: "fc6"
+}
+layers {
+ layer {
+ name: "fc7"
+ type: "innerproduct"
+ num_output: 4096
+ }
+ bottom: "fc6"
+ top: "fc7"
+}
+layers {
+ layer {
+ name: "relu7"
+ type: "relu"
+ }
+ bottom: "fc7"
+ top: "fc7"
+}
+layers {
+ layer {
+ name: "drop7"
+ type: "dropout"
+ dropout_ratio: 0.5
+ }
+ bottom: "fc7"
+ top: "fc7"
+}
+layers {
+ layer {
+ name: "fc8"
+ type: "innerproduct"
+ num_output: 1000
+ }
+ bottom: "fc7"
+ top: "fc8"
+}
+layers {
+ layer {
+ name: "accuracy"
+ type: "accuracy"
+ }
+ bottom: "fc8"
+ bottom: "label"
+ top: "accuracy"
+}
\ No newline at end of file