Your browser does not support JavaScript!

Post-graduate theses

Current Record: 2 of 71

Back to Results Previous page
Next page
Add to Basket
[Add to Basket]
Identifier 000431203
Title The optimisation algorithm in machine learning
Alternative Title Ο αλγόριθμος βελτιστοποίησης στη μηχανική μάθηση
Author Χριστοφής, Ελευθέριος
Thesis advisor Κατσαούνης, Θεόδωρος
Reviewer Χαρμανδάρης, Ευάγγελος
Πλεξουσάκης, Μιχαήλ
Abstract The last two decades have marked a rapid and significant growth of the Artificial Intelligence field. Deep learning using artificial neural networks became an essential tool for a vast number of applications fields. The structure of deep learning relies on basic concepts from several mathematical fields, such as linear algebra, calculus, optimization, statistics. This thesis is an introduction to the mathematical background of deep learning. In particular we focus on the optimization algorithm widely used, namely the stochastic gradient descent. We study and compare the behaviour of different variants of this algorithm under various circumstances and summarize their strengths and weaknesses. The goal of this thesis is to provide the reader with the knowledge to comprehend the training procedure of a neural network.
Language English, Greek
Issue date 2020-07-24
Collection   Faculty/Department--Faculty of Sciences and Engineering--Department of Mathematics and Applied Mathematics--Post-graduate theses
  Type of Work--Post-graduate theses
Permanent Link Bookmark and Share
Views 13

Digital Documents
No preview available

View document
Views : 5