Deep Learning in AI

Abstract

Just as humans process a lot of information, machines and computers are now able to analyze, identify and distinguish various characteristics of objects, images, colors and patterns of words in a timely manner. This might take the form of completely new learning paradigms or continued refinement of existing principles. The objective of this research is to explain deep learning in artificial intelligence. Deep learning imitates the process of human thinking by analyzing complex data. Also, we present and compare the framework based on neural networks which is a system of hardware and/or software patterned after the operations of neurons in the human brain. Deep learning is applicable across various works of life i.e. commercial applications and in medical researches.