What is the difference between classifiication and matching in neural networks?

Hi everybody.... I create a neural network and training it... Now I need to test the network.

For example: if I enter an image I want to show the same image that is in database.

What can I do to make this...??? i doing training ..what can i do after that??? plz help me...i am new in neural network

[Image Analyst]

It's not clear. Have you actually created the network yet? If yes, then have you trained it or not?

[primrose khaleed]

thanks image analysist...yes i create network and traning it..now i want when enter test image the network show the similarty matching immage...how can do this??

Answer 1

[Greg Heath]

You haven't explained what type of classifier you have designed. In particular, what is the command sim(T,testimage) supposed to yield?

Please show your code. So far, your explanation is not clear. Your expression for T doesn't look correct.

If you want to display the nearest exemplar of the chosen class, why not just use a nearest exemplar classifier in the first place?

Answer 2

[Greg Heath]

I don't understand how you can be training a net when you don't know what the output should be.

If you have c categories, number them from 1 to c and represent the ith category target by the ith column of the unit matrix eye(c).

Hope this helps.

Thank you for formally accepting my answer

Greg

[Azzi Abdelmalek]

Primrose commented

i create target matrix ...T=[1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 ]; out=sim(T,testimage) now i want to display the image that is similarty the testimge.. plz help me