ABSTRACT
Deep learning follows the perception of Artificial Neural Network. Using the concept of deep learning, the models can be trained more accurately to solve different problems. The structure of a deep learning model is based upon the structure of the brain. The brain senses input in the form of audio, text, image, video. A face recognition system, after capturing images from a camera, can identify a particular face from the crowd. In the same context of image classification, a system using deep learning can recognise handwritten information and digitalise it from one language to other languages as required. Deep learning consents to train an artificial intelligence model to predict outputs, given a set of inputs. Supervised and unsupervised learning can both be thought of as advancing the artificial intelligence field. Text classification is the task of deciding whether a piece of text belongs to any of a set of prespecified categories.
