Deep Learning and XAI Techniques for Anomaly Detection

Preface

Despite promising advances, the opaque nature of deep learning models makes it difficult to interpret them, which is a drawback for practical deployment and regulatory compliance.

Deep Learning and XAI Techniques for Anomaly Detection shows you state-of-the-art methods that’ll help you to understand and address these challenges. By leveraging the Explainable AI (XAI) and deep learning techniques described in this book, you’ll discover how to extract business-critical insights while ensuring fair and ethical analysis.

This practical guide will provide tools and best practices to achieve transparency and interpretability with deep learning models, ultimately establishing trust in your anomaly detection applications. Throughout the chapters, ...