Testing Accuracy for Test Dataset

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Nitish Singla
Nitish Singla le 8 Juil 2021
How to find testing accuracy for a whole testing dataset of a deep neural network ? Like we use model.evaluate in python, what to use in MATLAB. I have a testing dataset in a folder with 5 categories and images in it.
outputFolder = fullfile('E:\Cifar5categories');
rootFolder = fullfile(outputFolder, 'test');
categories = {'automobile', 'cat', 'dog', 'truck', };
imds = imageDatastore(fullfile(rootFolder,categories),'LabelSource','foldernames');
trainedNetwork_1 is the trained network, trained using Deep Learning Designer. Please tell me the command.

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