Analysis of Traditional Cultural Acceptance Based on Deep Learning

Abstract

Technological development has resulted in the utilisation of advanced technology search using deep learning technology in all industries. Artificial intelligence is set to be filled with machines that can perform tasks that need human intelligence. These machines are controlled by computer systems. In this study, people are going to analyse the traditional cultural acceptance based on deep learning. Deep learning technology is a subfield of machine learning that makes use of algorithms that are inspired by the human brain. Artificial neural network is one such network used in deep learning. Traditional cultural acceptance is an integration of traditional cultures and cultural acceptance. The traditional cultures are said to be the tribes that are never exposed to the technological radar. These communities live traditionally in remote areas where there is no access to the latest technologies. The traditional cultures were found in the upper Amazon regions. Because they have not been exposed to the modern world, they have retained their ancient traditional and cultural value. Cultural acceptance can be said in simple words: accepting people as they are, without shaming their culture, traditional habits, attire, and body. In this proposed system, deep learning techniques were used to analyse the traditional cultural acceptance. The results proved that the proposed model called Faster R-CNN performs well than the existing algorithms.