Gunjan Dogra is a Data Scientist in Webtunix Solutions Private Limited. She writes articles for her passion and knowledge sharing. Her articles have been published in the number of reputed sites like EzineArticles.com, ArticleCube.com, and Sooperarticles.com. A good thing about her article is that she includes multiple perspectives on a particular topic and draws a constructive conclusion.
Articles from this author
Artificial Intelligence applications in retail are growing day by day. AI has brought extreme business opportunities by developing necessary tools and products like product recommendation system for e-commerce websites, image processing & pattern matching technique used in fingerprint matching and facial recognition for security, and Chatbots for customer services and interaction.
As we know, we are living in a satellite era and everything is based on technology these days. In an organization, most of the concepts are based on technology. An organization faces many internal and external risks, such as high competition, failure of technology, inflation, recession, and change in government laws.
As specified in the heading, let us first understand the term Artificial Intelligence (AI). In an older time, to complete a task there was the requirement of human involvement as well as human intelligence. But now we have ARTIFICIAL INTELLIGENCE, it basically refers to the machine that has the ability to complete this particular task in a smarter way.
An Artificial Neural Network is a model for processing information. It is inspired by the way our brain processes the information. The basic idea behind a neural network is to copy in a simplified but reasonably faithful way. There are a lot of densely interconnected brain cells inside a computer to learn things, make decisions, and recognize patterns in a human-like way.
Machine learning has reached today a next level from which it was started. From pattern recognition to prediction, it has proved itself a great field for researcher and scientists. It helps us to make precise results and outcomes of prediction.
In this article different types of Neural Network such as Feed-Forward Network, Convolutional Neural Network, Multilayer Perceptron and much more are described. Also, we concluded that Convolutional Network is basically used for text and image classification. To overcome their limitations Capsule Network came into existence.