Modify the MNIST model from the lecture03_assignment. notebook (below) to use the CIFAR10 image set for training a network to recognise the 10 classes of images represented there. As with MNIST, this dataset is
available from the MLDatasets Julia module. The lecture03_assignment. notebook contains several pointers to where changes need to be made.
Some additional guidelines:
• use the same training parameters, but you’ll need to adjust the network architecture to take account of the fact that the images are colour rather than black & white;
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• measure the training time and performance of the network and suggest how it might be improved;
• document your work within the notebook using the markdown feature;
• submit one notebook for the assignment;
• the assignment must be coded in Julia.
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