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Author: Μάμαλης, Μάριος
Title: Transfer learning: applications in image and natural language data
Date Issued: 2023
Department: Πρόγραμμα Μεταπτυχιακών Σπουδών Αναλυτική των Επιχειρήσεων και Επιστήμη των Δεδομένων
Supervisor: Ταραμπάνης, Κωνσταντίνος
Abstract: Transfer learning appears to be one of the most influential techniques used in machine learning today with applications in nearly all state of the art models. From natural language machine learning to computer vision and tabular data, transfer learning has reshaped the way machine learning algorithms and models are developed and applied. In this thesis the way transfer learning works is examined and results of its applications on different domains (agricultural-image data, medical-natural language data) are presented. We conclude that this technique could change the landscape of machine learning and artificial intelligence as a whole even more within the next few years, something backed up by its performance and flexibility on a variety of tasks.
Keywords: Artificial Intelligence
Machine Learning
Transfer Learning
Computer Vision
Natural Language Processing
Information: Διπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2023.
Rights: CC0 1.0 Παγκόσμια
Appears in Collections:ΠΜΣ Αναλυτική των Επιχειρήσεων και Επιστήμη των Δεδομένων (Μ)

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