Deep Learning: A Beginners' Guide
Autor Dulani Meedeniyaen Limba Engleză Hardback – 16 oct 2023
Key features:
- Provides knowledge on theory and design of state-of-the-art deep learning models for real-world applications
- Explains the concepts and terminology in problem-solving with deep learning
- Explores the theoretical basis for major algorithms and approaches in deep learning
- Discusses the enhancement techniques of deep learning models
- Identifies the performance evaluation techniques for deep learning models
Preț: 590.27 lei
Preț vechi: 737.84 lei
-20% Nou
Puncte Express: 885
Preț estimativ în valută:
112.97€ • 117.34$ • 93.83£
112.97€ • 117.34$ • 93.83£
Carte disponibilă
Livrare economică 13-27 ianuarie 25
Livrare express 28 decembrie 24 - 03 ianuarie 25 pentru 31.51 lei
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781032473246
ISBN-10: 103247324X
Pagini: 198
Ilustrații: 9 Tables, black and white; 87 Line drawings, black and white; 22 Halftones, black and white; 109 Illustrations, black and white
Dimensiuni: 156 x 234 x 19 mm
Greutate: 0.53 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
ISBN-10: 103247324X
Pagini: 198
Ilustrații: 9 Tables, black and white; 87 Line drawings, black and white; 22 Halftones, black and white; 109 Illustrations, black and white
Dimensiuni: 156 x 234 x 19 mm
Greutate: 0.53 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Public țintă
Postgraduate and Undergraduate AdvancedCuprins
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.
Notă biografică
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).
Descriere
This book focuses on Deep Learning (DL), which is an important aspect of data science, that includes predictive modelling.