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Merge pull request BVLC#1039 from sergeyk/dev
[example] HDF5 classification
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| net: "examples/hdf5_classification/train_val.prototxt" | ||
| test_iter: 1000 | ||
| test_interval: 1000 | ||
| base_lr: 0.01 | ||
| lr_policy: "step" | ||
| gamma: 0.1 | ||
| stepsize: 5000 | ||
| display: 1000 | ||
| max_iter: 10000 | ||
| momentum: 0.9 | ||
| weight_decay: 0.0005 | ||
| snapshot: 10000 | ||
| snapshot_prefix: "examples/hdf5_classification/data/train" | ||
| solver_mode: CPU |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| net: "examples/hdf5_classification/train_val2.prototxt" | ||
| test_iter: 1000 | ||
| test_interval: 1000 | ||
| base_lr: 0.01 | ||
| lr_policy: "step" | ||
| gamma: 0.1 | ||
| stepsize: 5000 | ||
| display: 1000 | ||
| max_iter: 10000 | ||
| momentum: 0.9 | ||
| weight_decay: 0.0005 | ||
| snapshot: 10000 | ||
| snapshot_prefix: "examples/hdf5_classification/data/train" | ||
| solver_mode: CPU |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,59 @@ | ||
| name: "LogisticRegressionNet" | ||
| layers { | ||
| name: "data" | ||
| type: HDF5_DATA | ||
| top: "data" | ||
| top: "label" | ||
| hdf5_data_param { | ||
| source: "examples/hdf5_classification/data/train.txt" | ||
| batch_size: 10 | ||
| } | ||
| include: { phase: TRAIN } | ||
| } | ||
| layers { | ||
| name: "data" | ||
| type: HDF5_DATA | ||
| top: "data" | ||
| top: "label" | ||
| hdf5_data_param { | ||
| source: "examples/hdf5_classification/data/test.txt" | ||
| batch_size: 10 | ||
| } | ||
| include: { phase: TEST } | ||
| } | ||
| layers { | ||
| name: "fc1" | ||
| type: INNER_PRODUCT | ||
| bottom: "data" | ||
| top: "fc1" | ||
| blobs_lr: 1 | ||
| blobs_lr: 2 | ||
| weight_decay: 1 | ||
| weight_decay: 0 | ||
| inner_product_param { | ||
| num_output: 2 | ||
| weight_filler { | ||
| type: "gaussian" | ||
| std: 0.01 | ||
| } | ||
| bias_filler { | ||
| type: "constant" | ||
| value: 0 | ||
| } | ||
| } | ||
| } | ||
| layers { | ||
| name: "loss" | ||
| type: SOFTMAX_LOSS | ||
| bottom: "fc1" | ||
| bottom: "label" | ||
| top: "loss" | ||
| } | ||
| layers { | ||
| name: "accuracy" | ||
| type: ACCURACY | ||
| bottom: "fc1" | ||
| bottom: "label" | ||
| top: "accuracy" | ||
| include: { phase: TEST } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,86 @@ | ||
| name: "LogisticRegressionNet" | ||
| layers { | ||
| name: "data" | ||
| type: HDF5_DATA | ||
| top: "data" | ||
| top: "label" | ||
| hdf5_data_param { | ||
| source: "examples/hdf5_classification/data/train.txt" | ||
| batch_size: 10 | ||
| } | ||
| include: { phase: TRAIN } | ||
| } | ||
| layers { | ||
| name: "data" | ||
| type: HDF5_DATA | ||
| top: "data" | ||
| top: "label" | ||
| hdf5_data_param { | ||
| source: "examples/hdf5_classification/data/test.txt" | ||
| batch_size: 10 | ||
| } | ||
| include: { phase: TEST } | ||
| } | ||
| layers { | ||
| name: "fc1" | ||
| type: INNER_PRODUCT | ||
| bottom: "data" | ||
| top: "fc1" | ||
| blobs_lr: 1 | ||
| blobs_lr: 2 | ||
| weight_decay: 1 | ||
| weight_decay: 0 | ||
| inner_product_param { | ||
| num_output: 40 | ||
| weight_filler { | ||
| type: "gaussian" | ||
| std: 0.01 | ||
| } | ||
| bias_filler { | ||
| type: "constant" | ||
| value: 0 | ||
| } | ||
| } | ||
| } | ||
| layers { | ||
| name: "relu1" | ||
| type: RELU | ||
| bottom: "fc1" | ||
| top: "fc1" | ||
| } | ||
| layers { | ||
| name: "fc2" | ||
| type: INNER_PRODUCT | ||
| bottom: "fc1" | ||
| top: "fc2" | ||
| blobs_lr: 1 | ||
| blobs_lr: 2 | ||
| weight_decay: 1 | ||
| weight_decay: 0 | ||
| inner_product_param { | ||
| num_output: 2 | ||
| weight_filler { | ||
| type: "gaussian" | ||
| std: 0.01 | ||
| } | ||
| bias_filler { | ||
| type: "constant" | ||
| value: 0 | ||
| } | ||
| } | ||
| } | ||
| layers { | ||
| name: "loss" | ||
| type: SOFTMAX_LOSS | ||
| bottom: "fc2" | ||
| bottom: "label" | ||
| top: "loss" | ||
| } | ||
| layers { | ||
| name: "accuracy" | ||
| type: ACCURACY | ||
| bottom: "fc2" | ||
| bottom: "label" | ||
| top: "accuracy" | ||
| include: { phase: TEST } | ||
| } |