What do you mean by convolutional neural networks
Convolutional Neural Networks (CNNs) are a type of deep neural network that are mainly used for image recognition and classification tasks. They are composed of multiple layers of neurons, including convolutional layers, pooling layers, and fully-connected layers. Convolutional layers apply various filters to the input images and extract features from them. Pooling layers reduce the size of the feature maps and help to reduce the number of parameters in the network. Fully-connected layers connect all the neurons in the network and allow them to learn complex patterns from the input data.