Step into a detailed study of how meaningful concepts shape the output of a convolution-based image classifier with this TCAV course. The training guides you through selecting a concept, preparing concept and random image sets, and using target-class samples for evaluation. You will learn how to extract layer activations, form a Concept Activation Vector through a simple separating model, and measure how strongly the chosen concept pushes the classifier toward the desired class. Each part of the process is explained with clear numerical examples, showing how directional values are computed and how the final TCAV score is derived. All exercises are completed in Python using practical image collections, giving you a solid understanding of concept-driven behavior within image-based systems.
Working of XAI
Applications of XAI
Propagation-Based Feature Attribution Methods
Concept-Based Explainability Methods
Deep Learning Models in XAI
Future of XAI in Machine Learning
What is TCAV?
Theoretical Foundation of TCAV
Applications of TCAV
Python
Anil Garg has teaching experience of more than 20 years. & completed a Ph.D. from NIT Kurukshetra. More than 80 papers have been published in various repute National/International Journals/Conferences. Anil’s Google Scholar citation is 315, H-index-9, i10-index 9 & Scopus Citation is 88, H-index-4, i10-index 2. He has Guided 17 M.Tech Dissertations. He has also published one patent titled “Virtual Debate Chamber With Speech Enhancement” and is in process for the grant of the patent. He has performed the responsibilities as Guest Editor of “ International Journal of Speech technology” Published by Springer, ISSN: 1381-2416. He had also been selected as TPC Member, Program Committee and quality reviewer in the “International Conference on Recent Trends in Communication & Intelligent Systems” held on 20/11/2020- 21/11/2020 at Arya College of Engineering & I.T., Jaipur, Rajasthan, India. (Springer). He Had also performed responsibilities: RAC coordinator, BOS member, FET member, Member PGC, Reviewer of various national/international SCI/Scopu-indexed journals, etc. Currently, he is guiding two Ph.D. scholars.
Reviews
Amit Kulkarni
Deepika Menon
Kunal Shah
Pooja Menon
Rohit Verma
₹1000
₹6000
$12
$71
This course includes:
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Validity:60 days
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Validity:60 days
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Category:Explainable AI (XAI)
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Lessons:8
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Students:1850
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Language:English
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Certificates:Yes
Payment details
Testing with Concept Activation Vectors
TCAV - Interpretability Techniques With Case Studies
