Applied Deep Learning: Tools, Techniques, and Implementation - Couverture rigide

Fergus, Paul; Chalmers, Carl

Couverture rigide

ISBN 10 : 3031044193 ISBN 13 : 9783031044199

Editeur : Springer International Publishing AG, 2022

Synopsis

Part 1 Introduction and Overview.- Introduction.- Part 2 Foundations of Mashine Learning.- Fundamentals of Machine Learning.- Supervised Learning.- Un-Supervised Learning.- Performance Evaluation Metrics.- Part 3 Deep Learning Concepts and Techniques.- Introduction to Deep Learning.- Image Classification and Object Detection.- Deep Learning Techniques for Time Series Modelling.- Natural Language Processing.- Deep Generative Models.- Deep Reinforcement Learning.- Part 4 Enterprise Machine Learning.- Accelerated Machine Learning.- Deploying and Hosting Machine Learning Models.- Enterprise Machine Learning Serving.

A propos du livre

À propos de l?auteur

Prof. Paul Fergus is a Professor in Machine Learning and Dr. Carl Chambers is a Senior Lecturer in the Dept. of Computer Science of Liverpool John Moores University. Their teaching responsibilities include Machine Learning and Data Science. Their research interest includes Applied Machine Learning, Computer Vision, Signal Processing, and Pattern Recognition.

Détails de l'édition

• Éditeur: Springer International Publishing AG
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 3031044193
• ISBN 13: 9783031044199
• Reliure: Relié
• Nombre de pages: 368
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne