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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,175 @@ | ||
| name: "CaffeNet" | ||
| input: "data" | ||
| input_dim: 1 | ||
| input_dim: 3 | ||
| input_dim: 227 | ||
| input_dim: 227 | ||
| layers { | ||
| name: "conv1" | ||
| type: CONVOLUTION | ||
| bottom: "data" | ||
| top: "conv1" | ||
| convolution_param { | ||
| num_output: 96 | ||
| kernel_size: 7 | ||
| stride: 4 | ||
| } | ||
| } | ||
| layers { | ||
| name: "relu1" | ||
| type: RELU | ||
| bottom: "conv1" | ||
| top: "conv1" | ||
| } | ||
| layers { | ||
| name: "pool1" | ||
| type: POOLING | ||
| bottom: "conv1" | ||
| top: "pool1" | ||
| pooling_param { | ||
| pool: MAX | ||
| kernel_size: 3 | ||
| stride: 2 | ||
| } | ||
| } | ||
| layers { | ||
| name: "norm1" | ||
| type: LRN | ||
| bottom: "pool1" | ||
| top: "norm1" | ||
| lrn_param { | ||
| local_size: 5 | ||
| alpha: 0.0001 | ||
| beta: 0.75 | ||
| } | ||
| } | ||
| layers { | ||
| name: "conv2" | ||
| type: CONVOLUTION | ||
| bottom: "norm1" | ||
| top: "conv2" | ||
| convolution_param { | ||
| num_output: 256 | ||
| pad: 2 | ||
| kernel_size: 5 | ||
| } | ||
| } | ||
| layers { | ||
| name: "relu2" | ||
| type: RELU | ||
| bottom: "conv2" | ||
| top: "conv2" | ||
| } | ||
| layers { | ||
| name: "pool2" | ||
| type: POOLING | ||
| bottom: "conv2" | ||
| top: "pool2" | ||
| pooling_param { | ||
| pool: MAX | ||
| kernel_size: 3 | ||
| stride: 2 | ||
| } | ||
| } | ||
| layers { | ||
| name: "norm2" | ||
| type: LRN | ||
| bottom: "pool2" | ||
| top: "norm2" | ||
| lrn_param { | ||
| local_size: 5 | ||
| alpha: 0.0001 | ||
| beta: 0.75 | ||
| } | ||
| } | ||
| layers { | ||
| name: "conv3" | ||
| type: CONVOLUTION | ||
| bottom: "norm2" | ||
| top: "conv3" | ||
| convolution_param { | ||
| num_output: 384 | ||
| pad: 1 | ||
| kernel_size: 3 | ||
| } | ||
| } | ||
| layers{ | ||
| name: "relu3" | ||
| type: RELU | ||
| bottom: "conv3" | ||
| top: "conv3" | ||
| } | ||
| layers { | ||
| name: "pool5" | ||
| type: POOLING | ||
| bottom: "conv3" | ||
| top: "pool5" | ||
| pooling_param { | ||
| pool: MAX | ||
| kernel_size: 3 | ||
| stride: 2 | ||
| } | ||
| } | ||
| layers { | ||
| name: "fc6" | ||
| type: INNER_PRODUCT | ||
| bottom: "pool5" | ||
| top: "fc6" | ||
| inner_product_param { | ||
| num_output: 512 | ||
| } | ||
| } | ||
| layers { | ||
| name: "relu6" | ||
| type: RELU | ||
| bottom: "fc6" | ||
| top: "fc6" | ||
| } | ||
| layers { | ||
| name: "drop6" | ||
| type: DROPOUT | ||
| bottom: "fc6" | ||
| top: "fc6" | ||
| dropout_param { | ||
| dropout_ratio: 0.5 | ||
| } | ||
| } | ||
| layers { | ||
| name: "fc7" | ||
| type: INNER_PRODUCT | ||
| bottom: "fc6" | ||
| top: "fc7" | ||
| inner_product_param { | ||
| num_output: 512 | ||
| } | ||
| } | ||
| layers { | ||
| name: "relu7" | ||
| type: RELU | ||
| bottom: "fc7" | ||
| top: "fc7" | ||
| } | ||
| layers { | ||
| name: "drop7" | ||
| type: DROPOUT | ||
| bottom: "fc7" | ||
| top: "fc7" | ||
| dropout_param { | ||
| dropout_ratio: 0.5 | ||
| } | ||
| } | ||
| layers { | ||
| name: "fc8" | ||
| type: INNER_PRODUCT | ||
| bottom: "fc7" | ||
| top: "fc8" | ||
| inner_product_param { | ||
| num_output: 8 | ||
| } | ||
| } | ||
| layers { | ||
| name: "prob" | ||
| type: SOFTMAX | ||
| bottom: "fc8" | ||
| top: "prob" | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| net: "train_val_test_fold_is_0.prototxt" | ||
| test_iter: 1000 | ||
| test_interval: 1000 | ||
| base_lr: 0.001 | ||
| lr_policy: "step" | ||
| gamma: 0.1 | ||
| stepsize: 10000 | ||
| display: 20 | ||
| max_iter: 50000 | ||
| momentum: 0.9 | ||
| weight_decay: 0.0005 | ||
| snapshot: 1000 | ||
| snapshot_prefix: "caffenet_train" | ||
| solver_mode: GPU |
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| @@ -0,0 +1,14 @@ | ||
| net: "train_val_test_fold_is_1.prototxt" | ||
| test_iter: 1000 | ||
| test_interval: 1000 | ||
| base_lr: 0.001 | ||
| lr_policy: "step" | ||
| gamma: 0.1 | ||
| stepsize: 10000 | ||
| display: 20 | ||
| max_iter: 50000 | ||
| momentum: 0.9 | ||
| weight_decay: 0.0005 | ||
| snapshot: 1000 | ||
| snapshot_prefix: "caffenet_train" | ||
| solver_mode: GPU |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,14 @@ | ||
| net: "train_val_test_fold_is_2.prototxt" | ||
| test_iter: 1000 | ||
| test_interval: 1000 | ||
| base_lr: 0.001 | ||
| lr_policy: "step" | ||
| gamma: 0.1 | ||
| stepsize: 10000 | ||
| display: 20 | ||
| max_iter: 50000 | ||
| momentum: 0.9 | ||
| weight_decay: 0.0005 | ||
| snapshot: 1000 | ||
| snapshot_prefix: "caffenet_train" | ||
| solver_mode: GPU |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| net: "train_val_test_fold_is_3.prototxt" | ||
| test_iter: 1000 | ||
| test_interval: 1000 | ||
| base_lr: 0.001 | ||
| lr_policy: "step" | ||
| gamma: 0.1 | ||
| stepsize: 10000 | ||
| display: 20 | ||
| max_iter: 50000 | ||
| momentum: 0.9 | ||
| weight_decay: 0.0005 | ||
| snapshot: 1000 | ||
| snapshot_prefix: "caffenet_train" | ||
| solver_mode: GPU |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| net: "train_val_test_fold_is_4.prototxt" | ||
| test_iter: 1000 | ||
| test_interval: 1000 | ||
| base_lr: 0.001 | ||
| lr_policy: "step" | ||
| gamma: 0.1 | ||
| stepsize: 10000 | ||
| display: 20 | ||
| max_iter: 50000 | ||
| momentum: 0.9 | ||
| weight_decay: 0.0005 | ||
| snapshot: 1000 | ||
| snapshot_prefix: "caffenet_train" | ||
| solver_mode: GPU |
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