Question 4

Use the Fashion MNIST dataset from the keras package. Perform exploratory data

analysis. Show a random set of FIVE (5) images from each class in the dataset with

their corresponding class names. Prepare the dataset by normalizing the pixel values to

be between 0 and 1. Design a CNN with TWO (2) convolutional layers and FOUR (4)

dense layers (including the final output layer). Employ 'ReLU' activation and

"MaxPooling'. Keep 15% of the train dataset for validation. Rate the performance of

the algorithm and provide necessary plots. Pick a random image from the test dataset,

pass it to the algorithm and compare the algorithm output with the actual class label.