Deep learning is an AI function that is almost close to mimicking a human brain while processing data and understanding patterns through a complex network. Deep learning, also called Deep Neural Network, uses non linear algorithms, to automate predictive analytics. So instead of assembling data to run through established equations, DL trains the computer to learn on its own by recognizing patterns using complex processes.
Deep learning is already being used by top organizations to build smart home and office devices while vision based deep neural network is used in self driving cars and by a few heavy mechanical industries to identify defects in manufacturing goods.
According to Forbes, AI will grow exponentially in the coming years. Global revenues from AI for enterprise applications is projected to grow from $1.62B in 2018 to $31.2B in 2025 attaining a 52.59% CAGR in the forecast period. Image recognition and tagging, patient data processing, localization and mapping, predictive maintenance, thwarting security threats, intelligent recruitment are a few of the many enterprise application use cases predicted to fuel the projected rapid growth of AI.