A convolutional neural network (CNN) is a type of neural network that is used for image recognition and classification. It uses convolutional layers to extract features from images and then classifies them.
A recurrent neural network (RNN) is a type of neural network that is used for sequence analysis. It uses recurrent layers to store and process information over time and can be used for natural language processing.
For example, a CNN might be used to classify an image of a cat, while an RNN might be used to generate a caption for the same image.