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cifar10_full_test.prototxt
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cifar10_full_test.prototxt
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name: "CIFAR10_full_test"
layers {
layer {
name: "cifar"
type: "data"
source: "cifar10-leveldb/cifar-test-leveldb"
meanfile: "mean.binaryproto"
batchsize: 100
}
top: "data"
top: "label"
}
# ------------------------ layer 1 -----------------------------
layers {
layer {
name: "conv1"
type: "conv"
num_output: 32
kernelsize: 5
pad: 2
stride: 1
weight_filler {
type: "gaussian"
std: 0.0001
}
bias_filler {
type: "constant"
}
blobs_lr: 1.
blobs_lr: 2.
}
bottom: "data"
top: "conv1"
}
layers {
layer {
name: "pool1"
type: "pool"
kernelsize: 3
stride: 2
pool: MAX
}
bottom: "conv1"
top: "pool1"
}
layers {
layer {
name: "relu1"
type: "relu"
}
bottom: "pool1"
top: "pool1"
}
layers {
layer {
name: "norm1"
type: "lrn"
local_size: 3
alpha: 0.00005
beta: 0.75
}
bottom: "pool1"
top: "norm1"
}
# --------------------------- layer 2 ------------------------
layers {
layer {
name: "conv2"
type: "conv"
num_output: 32
kernelsize: 5
pad: 2
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
}
blobs_lr: 1.
blobs_lr: 2.
}
bottom: "norm1"
top: "conv2"
}
layers {
layer {
name: "relu2"
type: "relu"
}
bottom: "conv2"
top: "conv2"
}
layers {
layer {
name: "pool2"
type: "pool"
kernelsize: 3
stride: 2
pool: AVE
}
bottom: "conv2"
top: "pool2"
}
layers {
layer {
name: "norm2"
type: "lrn"
local_size: 3
alpha: 0.00005
beta: 0.75
}
bottom: "pool2"
top: "norm2"
}
#-----------------------layer 3-------------------------
layers {
layer {
name: "conv3"
type: "conv"
num_output: 64
kernelsize: 5
pad: 2
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
}
}
bottom: "norm2"
top: "conv3"
}
layers {
layer {
name: "relu3"
type: "relu"
}
bottom: "conv3"
top: "conv3"
}
layers {
layer {
name: "pool3"
type: "pool"
kernelsize: 3
stride: 2
pool: AVE
}
bottom: "conv3"
top: "pool3"
}
#--------------------------layer 4------------------------
layers {
layer {
name: "ip1"
type: "innerproduct"
num_output: 10
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
}
blobs_lr: 1.
blobs_lr: 2.
weight_decay: 250.
weight_decay: 0.
}
bottom: "pool3"
top: "ip1"
}
#-----------------------output------------------------
layers {
layer {
name: "prob"
type: "softmax"
}
bottom: "ip1"
top: "prob"
}
layers {
layer {
name: "accuracy"
type: "accuracy"
}
bottom: "prob"
bottom: "label"
top: "accuracy"
}