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Transfer learning
have anlw trained on Imagenet
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classes)
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MLP
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POOL → CONV . - r - r
CONV
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Transfer learning
have anlw trained on Imagenet
Say we
classes)
-
( 1000
:
MLP
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→
POOL → CONV - r - r r
CONV
i.
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& Ciooo
Feature
E- attractor
Transfer learning
-
we now have our dataset (
say R vis 5)
Change
K
:
MLP
;
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→
POOL → CONV - r - r r
→ CONV -
i
I
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Feature
E- attractor
Transfer learning
-
we now have our dataset (
say R vis
s
)
→ CON V
- POOL → CONV - r - r r → MLP
-
-
Feature
E- attractor
Transfer learning
-
we now have our dataset (
say R vis
s
)
→ CON V
- POOL → CONV - r - r r → MLP
-
-
Feature
E- attractor
9- Fined
Transfer learning
-
we now have our dataset (
say R vis
s
)
→ CON V
- POOL → CONV - r - r r → MLP
-
-
1
Fine
tune
-
Feature
E- attractor
