Deep learning - Object detection
Βαθιά μάθηση - Εντοπισμός αντικειμένων
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Keywords
Εντοπισμός αντικειμένων ; Deep learning ; NLP ; Natural Language Processing ; Επεξεργασία Φυσικής Γλώσσας ; Machine learning ; Μηχανική μάθηση ; Εικόνα σε κείμενο ; Βαθιά μάθησηAbstract
A thesis presented on solving computer vision problems for electronic documents
by transforming them to text files and then using deep learning methods to build
a natural language processing model for feature and information extraction for the
same type of documents. An extensive analysis in the natural language process
framework, the deep learning architectures, approach of manually training a model
to achieve good accuracy in the results and explaining the asset management
business problems regarding manipulating huge number of documents. We will try
to go in details and mention every step in the information system we are building
in python language, the pros and cons of investing in such machines and what the
future holds in real scenarios in similar technological advancements. This thesis is
based on scientific publications and articles, books and documentations.
Postgraduate Studies Programme
Προηγμένα Συστήματα ΠληροφορικήςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
51Language
EnglishCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα