A convolutional neural network (CNN) is a type of neural network that is primarily used for image recognition and classification. It uses convolutional layers to learn features from the input image. It is most commonly used in computer vision tasks such as object detection and image segmentation.
A recurrent neural network (RNN) is a type of neural network that is used for sequence modelling. It uses recurrent layers to learn temporal patterns from the input data. It is most commonly used in natural language processing tasks such as language translation and text generation.
For example, a CNN could be used to classify images of different animals, while an RNN could be used to generate a caption for an image.