![]() Literature depicts that ML, ANN and deep learning (DL) falls under the pyramid of AI and shown in Figure 1. ANN is non-linear and complex systems of neurons and neuron is a mathematical unit. ANN models are considered as most popular among AI models because of their architecture, which is the collection of neurons linked with other neurons in various layers. Ī single neuron is considered as a cell, processing electrochemical signals or nerve impulses, and the human brain is a complicated network of neurons that transfers information, with the help of various interlinked neurons. Likewise, artificial neural network (ANN) is an evolved method of ML algorithms, developed on a concept of imitating the human brain. Machine learning (ML) gives the capability to AI for solving problems based on available data. Whereas, machine learning is one of the branches of AI, in which computer systems are programmed based on the data and type of input. Hence, simulation of human intelligence, with computer programing and technologies, is the main objective of AI. Artificial Intelligence (AI) is the knowledge domain that targets the development of computer systems to solve problems by giving them cognitive powers for performing tasks that usually require human intelligence. ![]()
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