Is it possible to make a 'forked path' neural network?
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I want to make a network, specifically a CNN for image recognition, that takes an input, processes it the same way for several layers, and then at some point splits before coming to two different outputs. Is it possible to create a network such as this? It would look something like this:
Input ─> Conv ─> Pool ─> Conv ─> Pool ──> Dense ─> Output 1
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└──> Dense ─> Output 2
I.E. it splits off after the second pooling layer into separate fully connected layers. Of course, it has to train to both outputs, so that it is producing minimal error on both separate outputs using these common convolutional layers. Also, I am using Python Keras, and it would help if there was some way to do this using Keras in some way. Thank you!
machine-learning neural-network keras cnn image-recognition
edited yesterday
Simon Larsson
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asked yesterday
Fred EFred E
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I want to make a network, specifically a CNN for image recognition, that takes an input, processes it the same way for several layers, and then at some point splits before coming to two different outputs. Is it possible to create a network such as this? It would look something like this:
Input ─> Conv ─> Pool ─> Conv ─> Pool ──> Dense ─> Output 1
|
└──> Dense ─> Output 2
I.E. it splits off after the second pooling layer into separate fully connected layers. Of course, it has to train to both outputs, so that it is producing minimal error on both separate outputs using these common convolutional layers. Also, I am using Python Keras, and it would help if there was some way to do this using Keras in some way. Thank you!
machine-learning neural-network keras cnn image-recognition
edited yesterday
Simon Larsson
780114
asked yesterday
Fred EFred E
11
New contributor
Fred E is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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Welcome to SE.DataScience! Your question has been answered on stackoverflow.
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– Esmailian
yesterday
add a comment |
$begingroup$
I want to make a network, specifically a CNN for image recognition, that takes an input, processes it the same way for several layers, and then at some point splits before coming to two different outputs. Is it possible to create a network such as this? It would look something like this:
Input ─> Conv ─> Pool ─> Conv ─> Pool ──> Dense ─> Output 1
|
└──> Dense ─> Output 2
I.E. it splits off after the second pooling layer into separate fully connected layers. Of course, it has to train to both outputs, so that it is producing minimal error on both separate outputs using these common convolutional layers. Also, I am using Python Keras, and it would help if there was some way to do this using Keras in some way. Thank you!
machine-learning neural-network keras cnn image-recognition
edited yesterday
Simon Larsson
780114
asked yesterday
Fred EFred E
11
New contributor
Fred E is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I want to make a network, specifically a CNN for image recognition, that takes an input, processes it the same way for several layers, and then at some point splits before coming to two different outputs. Is it possible to create a network such as this? It would look something like this:
Input ─> Conv ─> Pool ─> Conv ─> Pool ──> Dense ─> Output 1
|
└──> Dense ─> Output 2
I.E. it splits off after the second pooling layer into separate fully connected layers. Of course, it has to train to both outputs, so that it is producing minimal error on both separate outputs using these common convolutional layers. Also, I am using Python Keras, and it would help if there was some way to do this using Keras in some way. Thank you!
machine-learning neural-network keras cnn image-recognition
machine-learning neural-network keras cnn image-recognition
edited yesterday
Simon Larsson
780114
asked yesterday
Fred EFred E
11
New contributor
Fred E is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited yesterday
Simon Larsson
780114
asked yesterday
Fred EFred E
11
New contributor
Fred E is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited yesterday
Simon Larsson
780114
edited yesterday
Simon Larsson
780114
edited yesterday
Simon Larsson
780114
780114
asked yesterday
Fred EFred E
11
New contributor
Fred E is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
Fred EFred E
11
asked yesterday
Fred EFred E
11
11
New contributor
Fred E is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Fred E is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Fred E is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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Welcome to SE.DataScience! Your question has been answered on stackoverflow.
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– Esmailian
yesterday
add a comment |
$begingroup$
Welcome to SE.DataScience! Your question has been answered on stackoverflow.
$endgroup$
– Esmailian
yesterday
$begingroup$
Welcome to SE.DataScience! Your question has been answered on stackoverflow.
$endgroup$
– Esmailian
yesterday
$begingroup$
Welcome to SE.DataScience! Your question has been answered on stackoverflow.
$endgroup$
– Esmailian
yesterday
add a comment |
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Fred E is a new contributor. Be nice, and check out our Code of Conduct.
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