Is it possible to share and merge classification models?
$begingroup$
I'm starting my machine learning study and I'm trying to figure out a simple question:
Let's say that I have two models, one that recognizes cats, and another one that recognize dogs.
Now I have a camera and I want to recognize both cats and dogs using my models.
Obviously, I don't want to create a third model to recognize both, having all the work to label each animal, so, is there a method to "merge" both models into one?
I'm asking this question because I want to understand one thing: why ML engineers don't share their models so then we can create aggregated models? For example, if a person A has a model that classifies people and a person B has a model for animals. Why they can't just share their models so then each one will have a more powerful model without needing to re-train everything?
I'm sorry if this is a too basic question, but I didn't see on Google any clear explanation. Thanks.
machine-learning
asked Jan 6 at 18:36
Arthur AcciolyArthur Accioly
1
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bumped to the homepage by Community♦ 10 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
I'm starting my machine learning study and I'm trying to figure out a simple question:
Let's say that I have two models, one that recognizes cats, and another one that recognize dogs.
Now I have a camera and I want to recognize both cats and dogs using my models.
Obviously, I don't want to create a third model to recognize both, having all the work to label each animal, so, is there a method to "merge" both models into one?
I'm asking this question because I want to understand one thing: why ML engineers don't share their models so then we can create aggregated models? For example, if a person A has a model that classifies people and a person B has a model for animals. Why they can't just share their models so then each one will have a more powerful model without needing to re-train everything?
I'm sorry if this is a too basic question, but I didn't see on Google any clear explanation. Thanks.
machine-learning
asked Jan 6 at 18:36
Arthur AcciolyArthur Accioly
1
$endgroup$
bumped to the homepage by Community♦ 10 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
I'm starting my machine learning study and I'm trying to figure out a simple question:
Let's say that I have two models, one that recognizes cats, and another one that recognize dogs.
Now I have a camera and I want to recognize both cats and dogs using my models.
Obviously, I don't want to create a third model to recognize both, having all the work to label each animal, so, is there a method to "merge" both models into one?
I'm asking this question because I want to understand one thing: why ML engineers don't share their models so then we can create aggregated models? For example, if a person A has a model that classifies people and a person B has a model for animals. Why they can't just share their models so then each one will have a more powerful model without needing to re-train everything?
I'm sorry if this is a too basic question, but I didn't see on Google any clear explanation. Thanks.
machine-learning
asked Jan 6 at 18:36
Arthur AcciolyArthur Accioly
1
$endgroup$
I'm starting my machine learning study and I'm trying to figure out a simple question:
Let's say that I have two models, one that recognizes cats, and another one that recognize dogs.
Now I have a camera and I want to recognize both cats and dogs using my models.
Obviously, I don't want to create a third model to recognize both, having all the work to label each animal, so, is there a method to "merge" both models into one?
I'm asking this question because I want to understand one thing: why ML engineers don't share their models so then we can create aggregated models? For example, if a person A has a model that classifies people and a person B has a model for animals. Why they can't just share their models so then each one will have a more powerful model without needing to re-train everything?
I'm sorry if this is a too basic question, but I didn't see on Google any clear explanation. Thanks.
machine-learning
machine-learning
asked Jan 6 at 18:36
Arthur AcciolyArthur Accioly
1
asked Jan 6 at 18:36
Arthur AcciolyArthur Accioly
1
asked Jan 6 at 18:36
Arthur AcciolyArthur Accioly
1
asked Jan 6 at 18:36
Arthur AcciolyArthur Accioly
1
asked Jan 6 at 18:36
Arthur AcciolyArthur Accioly
1
1
bumped to the homepage by Community♦ 10 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 10 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
add a comment |
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I believe that I've found an answer here and here.
answered Jan 6 at 19:44
Arthur AcciolyArthur Accioly
1
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$begingroup$
I believe that I've found an answer here and here.
answered Jan 6 at 19:44
Arthur AcciolyArthur Accioly
1
$endgroup$
add a comment |
$begingroup$
I believe that I've found an answer here and here.
answered Jan 6 at 19:44
Arthur AcciolyArthur Accioly
1
$endgroup$
add a comment |
$begingroup$
I believe that I've found an answer here and here.
answered Jan 6 at 19:44
Arthur AcciolyArthur Accioly
1
$endgroup$
I believe that I've found an answer here and here.
answered Jan 6 at 19:44
Arthur AcciolyArthur Accioly
1
answered Jan 6 at 19:44
Arthur AcciolyArthur Accioly
1
answered Jan 6 at 19:44
Arthur AcciolyArthur Accioly
1
answered Jan 6 at 19:44
Arthur AcciolyArthur Accioly
1
1
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