Please use this identifier to cite or link to this item:
Title: Deep learning and its application
Authors: Soreefan, Mohammad Jaleel
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2019
Abstract: The applications of machine learning are numerous and are growing continuously. In this project, deep learning, a type of machine learning, will be used to construct a couple of these applications. These include crowd counting and path tracking from a live video feed. A convolution neural network will be trained and tested on a dataset such that it can detect people from the video feed. The network will then be applied to real-life cases such that the above-mentioned functions can be performed accurately.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
fyp final report.pdf
  Restricted Access
Main article2.86 MBAdobe PDFView/Open

Page view(s) 20

checked on Oct 23, 2020

Download(s) 20

checked on Oct 23, 2020

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.