This code is an example of Image classification using CIFAR dataset. The above example uses CNNs and digital image processing to divide images into their respective categories.
Dataset contains 60,000 32x32 color images divided into 10 categories of 6,000 images each.
This notebook is used to demonstate the training of a simple CNN. The model is trained using a portion of the dataset. The model is tested on the remaining images not seen by the model and the results are visualized using a grid and confusion matrix.