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sjjsmuel
caries_classifier
Commits
b7f6ecb4
Commit
b7f6ecb4
authored
May 01, 2020
by
sjjsmuel
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network/Resnet50.py
network/Resnet50.py
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network/Resnet50.py
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b7f6ecb4
...
...
@@ -32,13 +32,13 @@ class Resnet50(NetworkBase):
for
layer
in
base_model
.
layers
:
layer
.
trainable
=
False
x
=
GlobalAveragePooling2D
()(
base_model
.
output
)
x
=
Dropout
(
0.5
)(
x
)
#x = GlobalAveragePooling2D()(base_model.output)
x
=
Flatten
()(
base_model
.
output
)
x
=
Dropout
(
0.3
)(
x
)
x
=
Dense
(
128
)(
x
)
x
=
Dropout
(
0.3
)(
x
)
out
=
Dense
(
self
.
NUM_CLASSES
,
activation
=
'softmax'
,
name
=
'probs'
)(
x
)
model
=
Model
(
base_model
.
input
,
out
)
#for layer in model.layers[:-39]:
# layer.trainable = False
return
model
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