Can anyone help me to use .mat for validation in CNN classification?

close all;
clear all;
clc;
mynet = open('Gnet.mat');
% mynet = disp(mynet);
%test classifier using train samples

imdsTest=imageDatastore('E:\Postmanpack\Ppimplementation\Myxraytesting/',...
    'IncludeSubfolders', true,...
    'LabelSource', 'foldernames');
    inputSize= [227 227 3];
  augimdsTest=augmentedImageDatastore(inputSize, imdsTest, 'ColorPreprocessing', 'gray2rgb');
% %test classifier using test samples
[YPred, scores]=classify(mynet.Gnet, augimdsTest);
YTest=imdsTest.Labels; %expected result
accuracy=mean(YPred==YTest)

error

Reference to non-existent field 'Gnet'.

Error in TESTALEXNET1 (line 14)

[YPred, scores]=classify(mynet.Gnet, augimdsTest);

[Walter Roberson]

mynet_struct = load('Gnet.mat');
mynet = mynet_struct.mynet;

[Sulochana S]

Thanks for your clarifcation

Answer 1

[Srivardhan Gadila]

mynetstrcut = load('Gnet.mat’');  %loads the structure
mynet = mynetstruct.Gnet; % here Gnet = name of your network (Gnet)  and the network “Gnet” is stored in mynet
[YPred, scores] = classify(mynet,augimdsTest);

Alternatively

load Gnet; %provided only Gnet is saved in 'Gnet.mat'
[YPred, scores] = classify(Gnet,augimdsTest);

[Sulochana S]

Hi,

Thanks for your answer...it was working..