A convolutional neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio.[1] Convolution-based networks are the de-facto standard in deep learning-based approaches to computer vision[2] and image processing, and have only recently been replaced—in some cases—by newer deep learning architectures such as the transformer.
