Degree

Master of Science in Computer Science

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Date of Submission

2017-01-01

Advisor

Dr. Shams Naveed Zia

Project Type

MSCS Survey Report

Abstract

Deep Learning draws its inspiration from Artificial Neural Networks which have evolved tremendously as a machine learning algorithm over the last decade since they were initiated in the late 1950’s. A network of neurons which is responsible for providing sensations in the human body is an analogy to computational neural networks. Deep Learning is a computational model composed of multi-layer neural network. The capability of Deep Learning models to learn abstract representations from unprocessed data sets them apart from the conventional machine learning models. These methods have dramatically improved machine learning applications including speech recognition, object detection and visual recognition. The aim of this research survey is to study and understand the fundamentals of deep learning neural networks and how they are being utilized to the benefit of scientific and business community.

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