How to merge 2 Neural Network weight model with different classification?
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I'm new in this stream and got a stuck at a question, is it possible to merge 2 NN weight model (compiled and trained with the same architecture InceptionV3) with different classes of classifications (ModelA will predict age and ModelB will predict race).
Please advise if there is any way to merge or consolidate both model into a single weight model.
FYI: I'm using Keras to train those network.
Thank you
neural-network deep-learning transfer-learning
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$begingroup$
I'm new in this stream and got a stuck at a question, is it possible to merge 2 NN weight model (compiled and trained with the same architecture InceptionV3) with different classes of classifications (ModelA will predict age and ModelB will predict race).
Please advise if there is any way to merge or consolidate both model into a single weight model.
FYI: I'm using Keras to train those network.
Thank you
neural-network deep-learning transfer-learning
New contributor
$endgroup$
add a comment |
$begingroup$
I'm new in this stream and got a stuck at a question, is it possible to merge 2 NN weight model (compiled and trained with the same architecture InceptionV3) with different classes of classifications (ModelA will predict age and ModelB will predict race).
Please advise if there is any way to merge or consolidate both model into a single weight model.
FYI: I'm using Keras to train those network.
Thank you
neural-network deep-learning transfer-learning
New contributor
$endgroup$
I'm new in this stream and got a stuck at a question, is it possible to merge 2 NN weight model (compiled and trained with the same architecture InceptionV3) with different classes of classifications (ModelA will predict age and ModelB will predict race).
Please advise if there is any way to merge or consolidate both model into a single weight model.
FYI: I'm using Keras to train those network.
Thank you
neural-network deep-learning transfer-learning
neural-network deep-learning transfer-learning
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New contributor
New contributor
asked 13 hours ago
biswajitGhoshbiswajitGhosh
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