MohamadAboud/CNN-ICP

The project includes a detailed explanation of the CNN and ICP algorithms, along with their implementation in Python using popular deep learning and computer vision libraries such as TensorFlow, Keras, and OpenCV. The dataset used for training and testing the models is the CIFAR-10 dataset, which consists of 60,000 32x32 color images in 10 classes.

Jupyter Notebook