Neural Network Classifier VS Neural Network in Machine Learning Model Type
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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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
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
add a comment |
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
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
ios machine-learning coreml
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
add a comment |
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
add a comment |
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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