Design a CNN model that predict the object in the image using CIFAR-10 dataset
create 4 layers with padding tha, and relu as activation function after each 2 layer there is a max pool layer, than two fully connected layers with relu and softmax activation functions.
The accuracy of last epoch was good
Accuracy reached train is 0.7891000000190734
Accuracy reached Val is 0.7971
