ERROR: Invalid training data. The output size (2) of the last layer does not match the number of classes (1).

Can anyone please help to remove this error

clc

clear all

close all

inp=input('ENTER IMAGE :');

imgg=imread(inp);

aa=imgg;

[m n c]=size(aa);

if c==3

b=rgb2gray(aa);

else

b=aa;

end

im =b;

figure,

imshow(aa)

title('input ')

matlabroot='D:\Datasets'

DatasetPath = fullfile(matlabroot,'fundusdeeplearning','Dataset1');

Data = imageDatastore(DatasetPath, ...

'IncludeSubfolders',true,'LabelSource','foldernames');

CountLabel = Data.countEachLabel;

trainData=Data;

%% Define the Network Layers

% Define the convolutional neural network architecture.

layers = [imageInputLayer([336 448 3])

convolution2dLayer(5,20)

reluLayer

maxPooling2dLayer(2,'Stride',2)

convolution2dLayer(5,20)

reluLayer

maxPooling2dLayer(2,'Stride',2)

fullyConnectedLayer(2)

softmaxLayer

classificationLayer()];

options = trainingOptions('sgdm','MaxEpochs',15, ...

'InitialLearnRate',0.0001);

convnet = trainNetwork(trainData,layers,options);

%% Classify the Images in the Test Data and Compute Accuracy

% Run the trained network on the test set that was not used to train the

% network and predict the image labels (digits).

img =imgg;

img=imresize(img,[336 448]);

size(img)

outt = classify(convnet,img);

tf1=[]

for ii=1:2

st=int2str(ii)

tf = ismember(outt,st);

tf1=[tf1 tf];

end

out=find(tf1==1);

ss=sprintf('THE CLASS IS : %2f ',round((out)));

if out==1

msgbox('NORMAL')

elseif out==2

msgbox('AB NORMAL')

end

[Mrutyunjaya Hiremath]

How many folders are there in 'DatasetPath ' ?