Basic Image Classification Project Using CIFAR-10 Dataset

#Image Classification Project #Deep Learning #Neural Network #Image Processing #Computer Vision The objective is to build a model that can accurately classify images into predefined categories. For beginners, a common dataset used is the CIFAR-10 dataset, which consists of 60,000 32x32 color images in 10 classes, with 6,000 images per class.