Faster batch normalization

Joseph Redmon

2015-12-08 c2738835f0a2435ab03f411af3d168aec389d2a6

 cfg/darknet.cfg

@@ -4,10 +4,14 @@
height=256
width=256
channels=3
learning_rate=0.01
momentum=0.9
decay=0.0005

learning_rate=0.1
policy=poly
power=4
max_batches=500000

[crop]
crop_height=224
crop_width=224
@@ -23,16 +27,9 @@
pad=1
activation=leaky

#[convolutional]
#filters=16
#size=3
#stride=1
#pad=1
#activation=leaky

[maxpool]
stride=2
size=2
stride=2

[convolutional]
filters=32
@@ -41,16 +38,9 @@
pad=1
activation=leaky

#[convolutional]
#filters=32
#size=3
#stride=1
#pad=1
#activation=leaky

[maxpool]
stride=2
size=2
stride=2

[convolutional]
filters=64
@@ -59,16 +49,9 @@
pad=1
activation=leaky

#[convolutional]
#filters=64
#size=3
#stride=1
#pad=1
#activation=leaky

[maxpool]
stride=2
size=2
stride=2

[convolutional]
filters=128
@@ -77,16 +60,9 @@
pad=1
activation=leaky

#[convolutional]
#filters=128
#size=3
#stride=1
#pad=1
#activation=leaky

[maxpool]
stride=2
size=2
stride=2

[convolutional]
filters=256
@@ -95,16 +71,9 @@
pad=1
activation=leaky

#[convolutional]
#filters=256
#size=3
#stride=1
#pad=1
#activation=leaky

[maxpool]
stride=2
size=2
stride=2

[convolutional]
filters=512
@@ -113,16 +82,9 @@
pad=1
activation=leaky

#[convolutional]
#filters=512
#size=3
#stride=1
#pad=1
#activation=leaky

[maxpool]
stride=2
size=2
stride=2

[convolutional]
filters=1024
@@ -131,13 +93,6 @@
pad=1
activation=leaky

#[convolutional]
#filters=1024
#size=3
#stride=1
#pad=1
#activation=leaky

[avgpool]

[dropout]
@@ -148,6 +103,7 @@
activation=leaky

[softmax]
groups=1

[cost]
type=sse