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MNIST Classification
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Name: "MNIST Classification" | |
layer { | |
name: "data" | |
type: "Data" | |
top: "data" | |
top: "label" | |
transform_param { | |
scale: 0.00392156862745 | |
} | |
data_param { | |
source: "mnist/mnist_train_lmdb" | |
batch_size: 64 | |
backend: LMDB | |
} | |
} | |
layer { | |
name: "conv1" | |
type: "Convolution" | |
bottom: "data" | |
top: "conv1" | |
convolution_param { | |
num_output: 20 | |
kernel_size: 5 | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "pool1" | |
type: "Pooling" | |
bottom: "conv1" | |
top: "pool1" | |
pooling_param { | |
pool: MAX | |
kernel_size: 2 | |
stride: 2 | |
} | |
} | |
layer { | |
name: "conv2" | |
type: "Convolution" | |
bottom: "pool1" | |
top: "conv2" | |
convolution_param { | |
num_output: 50 | |
kernel_size: 5 | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "pool2" | |
type: "Pooling" | |
bottom: "conv2" | |
top: "pool2" | |
pooling_param { | |
pool: MAX | |
kernel_size: 2 | |
stride: 2 | |
} | |
} | |
layer { | |
name: "fc1" | |
type: "InnerProduct" | |
bottom: "pool2" | |
top: "fc1" | |
inner_product_param { | |
num_output: 500 | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "relu1" | |
type: "ReLU" | |
bottom: "fc1" | |
top: "fc1" | |
} | |
layer { | |
name: "score" | |
type: "InnerProduct" | |
bottom: "fc1" | |
top: "score" | |
inner_product_param { | |
num_output: 10 | |
weight_filler { | |
type: "xavier" | |
} | |
} | |
} | |
layer { | |
name: "loss" | |
type: "SoftmaxWithLoss" | |
bottom: "score" | |
bottom: "label" | |
top: "loss" | |
} |
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