Deep Learning an Overview
Fahad Masood Reda. Deep Learning an Overview. International Journal of Applied Information Systems 12(21):14-18, June 2019. URL, DOI BibTeX
@article{10.5120/ijais2019451796, author = "Fahad Masood Reda", title = "Deep Learning an Overview", journal = "International Journal of Applied Information Systems", issue_date = "June, 2019", volume = 12, number = 21, month = "June", year = 2019, issn = "2249-0868", pages = "14-18", url = "http://www.ijais.org/archives/volume12/number21/1055-2019451796", doi = "10.5120/ijais2019451796", publisher = "Foundation of Computer Science (FCS), NY, USA", address = "New York, USA" }
Abstract
Deep learning is an essential element in technological advancements globally in modern times. Understanding the different constituents that succeed deep learning through advanced AI is therefore paramount in dissecting the impact of deep learning in the society today. This text focuses on the working mechanisms of neural networks in detail. The paper explores the close relationship between the brain’s neurons and the artificial neural networks. The paper has been subdivided into subsections that cover important aspects of deep learning with respect to its application in resolving real-world problems that may be too challenging to solve using conventional means.
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Keywords
FeedForward Neural Network, Artificial Neurons, Activation Function, Deep Neural Network, Deep Learning