Dulani Meedeniya

Deep Learning

A Beginners' Guide

• Broschiertes Buch

Produktbeschreibung

This book focuses on Deep Learning (DL), which is an important aspect of data science, that includes predictive modelling.

Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 184
• Erscheinungstermin: 27. Juni 2025
• Englisch
• Abmessung: 234mm x 156mm
• Gewicht: 453g
• ISBN-13: 9781032487960
• ISBN-10: 1032487968
• Artikelnr.: 74063259

Autorenporträt

Dulani Meedeniya is a Professor in Computer Science and Engineering at the University of Moratuwa, Sri Lanka. She holds a PhD in Computer Science from the University of St Andrews, United Kingdom. She is the director of the Bio-Health Informatics group at her department and engages in a number of collaborative research projects. She is a co-author of 100+ publications in indexed journals, peer-reviewed conferences, and book chapters. Prof. Dulani has received several awards and grants for her contribution to research. She serves as a reviewer, program committee, and editorial team member in many international conferences and journals. Her main research interests are deep learning, software modeling and design, bio-health informatics, and technology-enhanced learning. She is a Fellow of HEA (UK), MIET, Senior Member of IEEE, Member of ACM, and a Chartered Engineer registered at EC (UK).

Inhaltsangabe

1. Introduction. 2. Concepts and Terminology. 3. State
of
the
Art Deep Learning Models: Part I. 4. State
of
the
Art Deep Learning Models: Part II. 5. Advanced Learning Techniques. 6. Enhancement of Deep Learning Architectures. 7. Performance Evaluation Techniques.

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1. Introduction. 2. Concepts and Terminology. 3. State-of-the-Art Deep Learning Models: Part I. 4. State-of-the-Art Deep Learning Models: Part II. 5. Advanced Learning Techniques. 6. Enhancement of Deep Learning Architectures. 7. Performance Evaluation Techniques.