Degree

Master of Science in Computer Science

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Date of Award

Fall 2017

Advisor/Supervisor

Dr. Shams Naveed Zia

Committee Member 1

Shams Naveed Zia, Supervisor, Faculty of Computer Science, Institute of Business Administration (IBA), Karachi

Project Type

MSCS Survey Report

Access Type

Restricted Access

Subjects

Computer Science, Computer pattern recognition

Abstract / Summary

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.

Pages

viii, 23

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