Neural Network Classifier VS Neural Network in Machine Learning Model Type












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Is there any difference between these Neural Network Classifier and Neural Network in machine learning model type used in iOS ? Whenever i create a machine learning iOS app with these two model type i often use VNCoreMLFeatureValueObservation for Neural Network and VNClassificationObservation for Neural Network Classifier. why?










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  • 1





    This is pretty much the same question you asked a few days ago. And in fact, the question you're asking here is the same as my answer to that other question: a classifier gives VNClassificationObservation results, a regular neural network gives VNCoreMLFeatureValueObservation results. Why? It's just a convenience for people who want to use classifiers, so they don't have to decode the prediction results themselves.

    – Matthijs Hollemans
    Nov 26 '18 at 9:57











  • @MatthijsHollemans i have some confusion in coreML and your Library. how can i contact you?

    – Spenser
    Nov 26 '18 at 10:55











  • Click on my profile, go to my website. :-)

    – Matthijs Hollemans
    Nov 26 '18 at 11:44
















0















Is there any difference between these Neural Network Classifier and Neural Network in machine learning model type used in iOS ? Whenever i create a machine learning iOS app with these two model type i often use VNCoreMLFeatureValueObservation for Neural Network and VNClassificationObservation for Neural Network Classifier. why?










share|improve this question




















  • 1





    This is pretty much the same question you asked a few days ago. And in fact, the question you're asking here is the same as my answer to that other question: a classifier gives VNClassificationObservation results, a regular neural network gives VNCoreMLFeatureValueObservation results. Why? It's just a convenience for people who want to use classifiers, so they don't have to decode the prediction results themselves.

    – Matthijs Hollemans
    Nov 26 '18 at 9:57











  • @MatthijsHollemans i have some confusion in coreML and your Library. how can i contact you?

    – Spenser
    Nov 26 '18 at 10:55











  • Click on my profile, go to my website. :-)

    – Matthijs Hollemans
    Nov 26 '18 at 11:44














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0








0








Is there any difference between these Neural Network Classifier and Neural Network in machine learning model type used in iOS ? Whenever i create a machine learning iOS app with these two model type i often use VNCoreMLFeatureValueObservation for Neural Network and VNClassificationObservation for Neural Network Classifier. why?










share|improve this question
















Is there any difference between these Neural Network Classifier and Neural Network in machine learning model type used in iOS ? Whenever i create a machine learning iOS app with these two model type i often use VNCoreMLFeatureValueObservation for Neural Network and VNClassificationObservation for Neural Network Classifier. why?







ios machine-learning coreml






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edited Nov 25 '18 at 16:14









rmaddy

241k27316380




241k27316380










asked Nov 25 '18 at 16:13









SpenserSpenser

32




32








  • 1





    This is pretty much the same question you asked a few days ago. And in fact, the question you're asking here is the same as my answer to that other question: a classifier gives VNClassificationObservation results, a regular neural network gives VNCoreMLFeatureValueObservation results. Why? It's just a convenience for people who want to use classifiers, so they don't have to decode the prediction results themselves.

    – Matthijs Hollemans
    Nov 26 '18 at 9:57











  • @MatthijsHollemans i have some confusion in coreML and your Library. how can i contact you?

    – Spenser
    Nov 26 '18 at 10:55











  • Click on my profile, go to my website. :-)

    – Matthijs Hollemans
    Nov 26 '18 at 11:44














  • 1





    This is pretty much the same question you asked a few days ago. And in fact, the question you're asking here is the same as my answer to that other question: a classifier gives VNClassificationObservation results, a regular neural network gives VNCoreMLFeatureValueObservation results. Why? It's just a convenience for people who want to use classifiers, so they don't have to decode the prediction results themselves.

    – Matthijs Hollemans
    Nov 26 '18 at 9:57











  • @MatthijsHollemans i have some confusion in coreML and your Library. how can i contact you?

    – Spenser
    Nov 26 '18 at 10:55











  • Click on my profile, go to my website. :-)

    – Matthijs Hollemans
    Nov 26 '18 at 11:44








1




1





This is pretty much the same question you asked a few days ago. And in fact, the question you're asking here is the same as my answer to that other question: a classifier gives VNClassificationObservation results, a regular neural network gives VNCoreMLFeatureValueObservation results. Why? It's just a convenience for people who want to use classifiers, so they don't have to decode the prediction results themselves.

– Matthijs Hollemans
Nov 26 '18 at 9:57





This is pretty much the same question you asked a few days ago. And in fact, the question you're asking here is the same as my answer to that other question: a classifier gives VNClassificationObservation results, a regular neural network gives VNCoreMLFeatureValueObservation results. Why? It's just a convenience for people who want to use classifiers, so they don't have to decode the prediction results themselves.

– Matthijs Hollemans
Nov 26 '18 at 9:57













@MatthijsHollemans i have some confusion in coreML and your Library. how can i contact you?

– Spenser
Nov 26 '18 at 10:55





@MatthijsHollemans i have some confusion in coreML and your Library. how can i contact you?

– Spenser
Nov 26 '18 at 10:55













Click on my profile, go to my website. :-)

– Matthijs Hollemans
Nov 26 '18 at 11:44





Click on my profile, go to my website. :-)

– Matthijs Hollemans
Nov 26 '18 at 11:44












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