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Deep Learning and XAI Techniques for Anomaly Detection

You're reading from Deep Learning and XAI Techniques for Anomaly Detection

Product type Book

Published in Jan 2023

Publisher Packt

ISBN-13 9781804617755

Pages 218 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Cher Simon

Table of Contents (15) Chapters

Preface

1. Part 1 – Introduction to Explainable Deep Learning Anomaly Detection

2. Chapter 1: Understanding Deep Learning Anomaly Detection

3. Chapter 2: Understanding Explainable AI

4. Part 2 – Building an Explainable Deep Learning Anomaly Detector

5. Chapter 3: Natural Language Processing Anomaly Explainability

6. Chapter 4: Time Series Anomaly Explainability

7. Chapter 5: Computer Vision Anomaly Explainability

8. Part 3 – Evaluating an Explainable Deep Learning Anomaly Detector

9. Chapter 6: Differentiating Intrinsic and Post Hoc Explainability

10. Chapter 7: Backpropagation versus Perturbation Explainability

11. Chapter 8: Model-Agnostic versus Model-Specific Explainability

12. Chapter 9: Explainability Evaluation Schemes

13. Index

Why subscribe?

14. Other Books You May Enjoy

Understanding natural language processing

Text classification is an NLP task that analyzes and categorizes text into groups using predefined labels. Common business use cases for text classification include sentiment analysis, topic detection, and language detection. Classifying content provides valuable business insights into customer preferences, personalized experience, content moderation, emerging market segments, and social sentiment.

For an overview of NLP, we will train a multiclass text classification model using AutoGluon, https://auto.gluon.ai/, and a public data repository for Amazon customer reviews, https://doi.org/10.7910/DVN/W96OFO, maintained by Harvard Dataverse. The data repository contains 7 text datasets collected between 2008 and 2020, with 5,000 reviews each. You can download the export_food.csv file from this data repository for the example walk through.

The following section gives an overview of AutoGluon.

Reviewing AutoGluon

AutoGluon is an open...

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Authors (1)

Cher Simon

Cher Simon is a principal solutions architect specializing in artificial intelligence, machine learning, and data analytics at AWS. Cher has 20 years of experience in architecting enterprise-scale, data-driven, and AI-powered industry solutions. Besides building cloud-native solutions in her day-to-day role with customers, Cher is also an avid writer and a frequent speaker at AWS conferences.

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