$1-$A program file, adequately commented for clarity.

$2-$A work report in PDF format, encompassing program codes and showcasing the architecture of the CNN$,$ plot of the accuracy $-$ val$\_$accuracy, and test accuracy percentage.

Problem:

Design a CNN model utilizing the "cifar$10"$ dataset to achieve superior classification performance.

Cifar $10$ Dataset:

The $\text{'}10\text{'}$ in this CIFAR$-10$ dataset refers to $10$ classes. These $10$ classes as shown in the above image are $-$ Airplane, Automobile, Bird, Cat, Deer, Dog, Frog, Horse, Ship and Truck respectively.

You can load the data set:

$"($x$\_$train, Y$\_$train$),($x$\_$test, test