Deep Learning Toolbox MLP

I am using deep learning toolbox to make a Multi Layer Perceptron. However the accuracy that I see during training plot and then by using predict fuction are not same. Any idea how to predict for classification using Deep Learning toolbox. Because as of now I am not getting the class. I am only getting the scores

[amir poornasirfard]

hi,

I need help and guidance.

[amir poornasirfard]

Can you help me?

Answer 1

[Raunak Gupta]

Hi Shathesh,

The predict function will return the scores corresponding to each class for a particular test image. So, the highest score out of each row will correspond to class of that particular image. Alternatively, you can also use classify function which gives categorical prediction as well as scores for each test image. If you want only labels as output you can use following syntax.

% Only Labels
YPred = classify(net,XTest); 
% Labels and scores 
[YPred,scores] = classify(net,XTest);

As for the first query during training the accuracy is calculated for training and validation data (if given). So, the accuracy can differ with test data if test data is very different from training or validation data.

Hope this helps!

[amir poornasirfard]

hi,

I need help and guidance.

[amir poornasirfard]

Can you help me?