Abstract

In the years before 2010, researchers used the local picture features that they had discovered with hybrid machine learning techniques to solve issues with image identification. Some deep learning methods for picture identification have, however, been created and tested since the year 2010. The methods that utilize deep learning to identify pictures outperform strategies that were used before deep learning was introduced in generic object recognition competitions by a considerable margin. Because of these developments, this article describes how deep learning is being used in the field of picture recognition, in addition to the most current achievements in autonomous deep learning driving.