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Update standard networks for Caffe #733

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merged 3 commits into from
May 16, 2016
Merged

Update standard networks for Caffe #733

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fec6199
LeNet - use Data layer for train/val input scaling
lukeyeager May 9, 2016
2160783
Update Data layers for standard networks
lukeyeager May 9, 2016
2be3381
Update batch sizes in standard networks
lukeyeager May 9, 2016
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16 changes: 6 additions & 10 deletions digits/standard-networks/caffe/alexnet.prototxt
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Original file line number Diff line number Diff line change
@@ -1,35 +1,31 @@
# AlexNet
name: "AlexNet"
layer {
name: "data"
name: "train-data"
type: "Data"
top: "data"
top: "label"
include {
phase: TRAIN
}
transform_param {
mirror: true
crop_size: 227
}
data_param {
batch_size: 100
batch_size: 128
}
include { stage: "train" }
}
layer {
name: "data"
name: "val-data"
type: "Data"
top: "data"
top: "label"
include {
phase: TEST
}
transform_param {
crop_size: 227
}
data_param {
batch_size: 100
batch_size: 32
}
include { stage: "val" }
}
layer {
name: "conv1"
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16 changes: 6 additions & 10 deletions digits/standard-networks/caffe/googlenet.prototxt
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Original file line number Diff line number Diff line change
@@ -1,36 +1,32 @@
# GoogLeNet
name: "GoogleNet"
layer {
name: "data"
name: "train-data"
type: "Data"
top: "data"
top: "label"
include {
phase: TRAIN
}
transform_param {
mirror: true
crop_size: 224
}
data_param {
batch_size: 24
batch_size: 32
}
include { stage: "train" }
}
layer {
name: "data"
name: "val-data"
type: "Data"
top: "data"
top: "label"
include {
phase: TEST
}
transform_param {
mirror: false
crop_size: 224
}
data_param {
batch_size: 24
batch_size: 16
}
include { stage: "val" }
}
layer {
name: "conv1/7x7_s2"
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28 changes: 17 additions & 11 deletions digits/standard-networks/caffe/lenet.prototxt
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Original file line number Diff line number Diff line change
@@ -1,43 +1,49 @@
# LeNet
name: "LeNet"
layer {
name: "mnist"
name: "train-data"
type: "Data"
top: "data"
top: "scaled"
top: "label"
include {
phase: TRAIN
transform_param {
# 1/(standard deviation)
scale: 0.0125
}
data_param {
batch_size: 64
}
include { stage: "train" }
}
layer {
name: "mnist"
name: "val-data"
type: "Data"
top: "data"
top: "scaled"
top: "label"
include {
phase: TEST
transform_param {
# 1/(standard deviation)
scale: 0.0125
}
data_param {
batch_size: 100
batch_size: 32
}
include { stage: "val" }
}
layer {
# Use Power layer in deploy phase for input scaling
name: "scale"
bottom: "data"
top: "scale"
top: "scaled"
type: "Power"
power_param {
# 1/(standard deviation)
scale: 0.0125
}
include { stage: "deploy" }
}
layer {
name: "conv1"
type: "Convolution"
bottom: "scale"
bottom: "scaled"
top: "conv1"
param {
lr_mult: 1
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