Current learning AlexNet Deep Learning, I am pretty sure my image size are correct but it seems that it doesn't acknowledge it.

The code:

alex = alexnet;
layers = alex.Layers;
layers(23) = fullyConnectedLayer(3);
layers(25) = classificationLayer;

allImages = imageDatastore('common weed images','IncludeSubfolders',true,'LabelSource','foldernames');
[trainingImages, testImages] = splitEachLabel(allImages,0.8,'randomized');

opts = trainingOptions("sgdm",'InitialLearnRate', 0.001 ,'MaxEpochs', 30,'MiniBatchSize', 64);
myNet = trainNetwork(trainingImages, layers, opts);

The ERROR:

Error using trainNetwork

The training images are of size 277×277×3 but the input layer expects images of size 227×227×3.

Error in transferLearning (line 18)

myNet = trainNetwork(trainingImages, layers, opts);

Tried using with augmentedimagedatastore:

alex = alexnet;
layers = alex.Layers;
layers(23) = fullyConnectedLayer(3);
layers(25) = classificationLayer;

allImages = imageDatastore('common weed images','IncludeSubfolders',true,'LabelSource','foldernames');
[trainingImages, testImages] = splitEachLabel(allImages,0.8,'randomized');
trainingImages = augmentedImageDatastore([277 277],trainingImages)
testImages = augmentedImageDatastore([277 277],testImages)

opts = trainingOptions('sgdm', 'InitialLearnRate', 0.001,...
    'MaxEpochs', 1, 'MiniBatchSize', 1);

myNet = trainNetwork(trainingImages, layers, opts);

Still has the same ERROR:

Error using trainNetwork

The training images are of size 277×277×3 but the input layer expects images of size 227×227×3.

Error in transferLearning (line 18)

myNet = trainNetwork(trainingImages, layers, opts);

Answer 1

[Walter Roberson]

Notice 277 compared to 227.

I suggest that you use an augmentedDatastore to implement automatic resizing to 227

[Charlene Rabulan]

so instead of using imageDatastore, I will just replace it with augmentedDatastore?

[Walter Roberson]

An augmented store works like a filter on the image data store. You augment the image store.

[Charlene Rabulan]

I currently edited my code above. Is it alright if you check that I did it correctly?

It is still showing the same error though if I ever did it correctly