question 4 use the fashion mnist dataset from the keras package perfor
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.
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