Hello
I have written the following code:

validate on val set
predictions = model.predict(X_val_prep)
predictions = [1 if x>0.5 else 0 for x in predictions]

accuracy = accuracy_score(y_val, predictions)
print('Val Accuracy = %.2f' % accuracy)

confusion_mtx = confusion_matrix(y_val, predictions)
cm = plot_confusion_matrix(confusion_mtx, classes = list(labels.items()), normalize=False)

ValueError: Error when checking input: expected vgg16_input to have shape (244, 244, 3) but got array with shape (224, 224, 3)

Could you help me how I should tackle it?
thank u very much.