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Diffstat (limited to 'models/bvlc_alexnet/alexnet_train_val.prototxt')
| -rw-r--r-- | models/bvlc_alexnet/alexnet_train_val.prototxt | 344 |
1 files changed, 344 insertions, 0 deletions
diff --git a/models/bvlc_alexnet/alexnet_train_val.prototxt b/models/bvlc_alexnet/alexnet_train_val.prototxt new file mode 100644 index 00000000..69b8916d --- /dev/null +++ b/models/bvlc_alexnet/alexnet_train_val.prototxt @@ -0,0 +1,344 @@ +name: "AlexNet" +layers { + name: "data" + type: DATA + top: "data" + top: "label" + data_param { + source: "examples/imagenet/ilsvrc12_train_leveldb" + batch_size: 256 + } + transform_param { + crop_size: 227 + mean_file: "data/ilsvrc12/imagenet_mean.binaryproto" + mirror: true + } + include: { phase: TRAIN } +} +layers { + name: "data" + type: DATA + top: "data" + top: "label" + data_param { + source: "examples/imagenet/ilsvrc12_val_leveldb" + batch_size: 50 + } + transform_param { + crop_size: 227 + mean_file: "data/ilsvrc12/imagenet_mean.binaryproto" + mirror: false + } + include: { phase: TEST } +} +layers { + name: "conv1" + type: CONVOLUTION + bottom: "data" + top: "conv1" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 96 + kernel_size: 11 + stride: 4 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu1" + type: RELU + bottom: "conv1" + top: "conv1" +} +layers { + name: "norm1" + type: LRN + bottom: "conv1" + top: "norm1" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "pool1" + type: POOLING + bottom: "norm1" + top: "pool1" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "conv2" + type: CONVOLUTION + bottom: "pool1" + top: "conv2" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 2 + kernel_size: 5 + group: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0.1 + } + } +} +layers { + name: "relu2" + type: RELU + bottom: "conv2" + top: "conv2" +} +layers { + name: "norm2" + type: LRN + bottom: "conv2" + top: "norm2" + lrn_param { + local_size: 5 + alpha: 0.0001 + beta: 0.75 + } +} +layers { + name: "pool2" + type: POOLING + bottom: "norm2" + top: "pool2" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "conv3" + type: CONVOLUTION + bottom: "pool2" + top: "conv3" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "relu3" + type: RELU + bottom: "conv3" + top: "conv3" +} +layers { + name: "conv4" + type: CONVOLUTION + bottom: "conv3" + top: "conv4" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 384 + pad: 1 + kernel_size: 3 + group: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0.1 + } + } +} +layers { + name: "relu4" + type: RELU + bottom: "conv4" + top: "conv4" +} +layers { + name: "conv5" + type: CONVOLUTION + bottom: "conv4" + top: "conv5" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + convolution_param { + num_output: 256 + pad: 1 + kernel_size: 3 + group: 2 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0.1 + } + } +} +layers { + name: "relu5" + type: RELU + bottom: "conv5" + top: "conv5" +} +layers { + name: "pool5" + type: POOLING + bottom: "conv5" + top: "pool5" + pooling_param { + pool: MAX + kernel_size: 3 + stride: 2 + } +} +layers { + name: "fc6" + type: INNER_PRODUCT + bottom: "pool5" + top: "fc6" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 0.1 + } + } +} +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" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 4096 + weight_filler { + type: "gaussian" + std: 0.005 + } + bias_filler { + type: "constant" + value: 0.1 + } + } +} +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" + blobs_lr: 1 + blobs_lr: 2 + weight_decay: 1 + weight_decay: 0 + inner_product_param { + num_output: 1000 + weight_filler { + type: "gaussian" + std: 0.01 + } + bias_filler { + type: "constant" + value: 0 + } + } +} +layers { + name: "accuracy" + type: ACCURACY + bottom: "fc8" + bottom: "label" + top: "accuracy" + include: { phase: TEST } +} +layers { + name: "loss" + type: SOFTMAX_LOSS + bottom: "fc8" + bottom: "label" + top: "loss" +} |