Deep Learning

Abstract

Deep learning is a major concept in machine learning. Deep learning follows the nested hierarchy mechanism for data representation, and it simulates the human brain. Deep learning can take the advantage of processing huge data input and achieve results with accuracy rates higher than traditional classification techniques. Many domains, such as computer vision, speech recognition, natural language processing, and pattern detection are using deep learning algorithms to solve real-world problems. Many notable companies have been developing projects related to deep learning, with various applications developed in the big data age. Nevertheless, these accomplishments come with several challenges. To address the existing challenges, the computer scientists are working closely with researchers in other domains to enhance deep learning algorithms, which indicates a promising future of deep learning.