Suppose you have a dataset of 30,000 images.

a) Draw a schematic diagram to

illustrate how you would train and test your custom deep learning model using k-fold

cross-validation with k = 5. Use visual representation to indicate how you

split the data 

b) Show how you

numerically calculate the total average performance of the model across all

folds (i.e., summarise the model’s

performance). [20 marks]