Title of article :
Deep Learning: Concepts, Types, Applications, and Implementation
Author/Authors :
Aghabeigi, Fereshteh Department of Computer Engineering and Information Technology - Islamic Azad University Arak Branch, Arak, Iran , Nazari, Sara Department of Computer Engineering and Information Technology - Islamic Azad University Arak Branch, Arak, Iran , Osati Eraghi, Nafiseh Department of Computer Engineering and Information Technology - Islamic Azad University Arak Branch, Arak, Iran
Abstract :
Today, deep learning has attracted attention in various scientific and nonscientific
fields. Deep learning is a branch of machine learning that simulates
the human brain for various applications like recognizing voice, face,
handwriting, identifying kinship, image processing, and etc. In deep learning,
a set of representation algorithms is used to model high-level abstract
concepts through learning at different levels and layers. Deep learning has
become popular due to its capabilities like automatic feature extraction,
high extendibility, and wide application in different fields. In this paper, it
is tried to describe different deep learning models and architectures, how
they are trained, and the required hardware and software structures
Keywords :
Machine learning , Deep learning , Neural networks , Network training
Journal title :
Theory of Approximation and Applications
