Master Explainable AI: Interpreting Image Classifier Decisions
INTERACTIVE COURSE

Master Explainable AI: Interpreting Image Classifier Decisions

Advanced

34 Lessons

7h

Certificate of Completion

AI Explanations
AI Explanations
Master Explainable AI: Interpreting Image Classifier Decisions
1 Project
1 Assessment
30 Playgrounds
5 Quizzes
52 Illustrations

Takeaway Skills

A deep understanding of the need and benefits of Explainable AI

The ability to design and implement popular explanation algorithms

Hands-on experience combining existing explanation methods to generate more robust explanations

An understanding of explainers used to interpret the decision of a neural network

The ability to evaluate and quantify the quality of the neural network explanations

Course Overview

Explainable AI is a set of tools and frameworks that helps you understand and interpret the internal logic behind the predictions made by a deep learning network. With this, you can generate insights into the behavior and working of the model to mitigate issues around it in the development phase. In this course, you will be introduced to popular Explainable AI algorithms such as smooth gradient, integrated gradient, LIME, class activation maps, counterfactual explanations, feature attributions, etc., for i...Show More

COURSE AUTHOR

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