The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images
I created 3 different models and trained in different sizes of datasets in 150 Epocks
Confusion matrix of the best trained model and its prediction results