How to implement a Convolutional encoder decoder for image classification

Hello, I am working on an implementation of convolutional encoder-decoder, The goal is to resize the input and reconstruct the ouput similar to the value of the input from images.

I tried to implement it using this code but errors are always pop-up.

clc; clear all; close all

load ('data');

digitDatasetPath = fullfile('Dataset Rahma')

imds = imageDatastore(digitDatasetPath, ...

'IncludeSubfolders',true, ...

'LabelSource','foldernames');

encodingLayers = [ ...

convolution2dLayer(3,16,'Padding','same'), ...

reluLayer, ...

maxPooling2dLayer(2,'Padding','same','Stride',2), ...

convolution2dLayer(3,8,'Padding','same'), ...

reluLayer, ...

maxPooling2dLayer(2,'Padding','same','Stride',2), ...

convolution2dLayer(3,8,'Padding','same'), ...

reluLayer, ...

maxPooling2dLayer(2,'Padding','same','Stride',2)];

decodingLayers = [ ...

createUpsampleTransponseConvLayer(2,8), ...

reluLayer, ...

createUpsampleTransponseConvLayer(2,8), ...

reluLayer, ...

createUpsampleTransponseConvLayer(2,16), ...

reluLayer, ...

convolution2dLayer(3,1,'Padding','same'), ...

clippedReluLayer(1.0), ...

regressionLayer];

layers = [imageLayer,encodingLayers,decodingLayers];

options = trainingOptions('adam', ...

'MaxEpochs',100, ...

'MiniBatchSize',imds.ReadSize, ...

'Plots','training-progress', ...

'Verbose',false);

net = trainNetwork(trainingSet,layers,options);

[Shubham Khatri]

Can you please explain what errors you are getting?