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You're reading from  The Deep Learning Architect's Handbook

Product typeBook
Published inDec 2023
PublisherPackt
ISBN-139781803243795
Edition1st Edition
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Author (1)
Ee Kin Chin
Ee Kin Chin
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Ee Kin Chin

Ee Kin Chin is a Senior Deep Learning Engineer at DataRobot. He holds a Bachelor of Engineering (Honours) in Electronics with a major in Telecommunications. Ee Kin is an expert in the field of Deep Learning, Data Science, Machine Learning, Artificial Intelligence, Supervised Learning, Unsupervised Learning, Python, Keras, Pytorch, and related technologies. He has a proven track record of delivering successful projects in these areas and is dedicated to staying up to date with the latest advancements in the field.
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Trusting and understanding integrated gradients

First off, the integrated gradient technique is available off-the-shelf in a few open source libraries such as shap and captum. We can utilize the method from the library without reimplementing the method. However, obtaining explanations without understanding the technicalities behind the technique can reduce trust in the explanations. If you don’t trust the technique, the explanation results themselves hardly mean anything. Subsequently, if you don’t explain your predictions, the prediction results themselves hardly mean anything! In this section, we will dive into what integrated gradients do so that you can trust what integrated gradients can explain to you.

Integrated gradients add a few extra components to the basic gradient-based feature importance-based explanations. These components are geared toward satisfying a few critical axioms that make or break the reliability of an explanation method. These axioms are...

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The Deep Learning Architect's Handbook
Published in: Dec 2023Publisher: PacktISBN-13: 9781803243795

Author (1)

author image
Ee Kin Chin

Ee Kin Chin is a Senior Deep Learning Engineer at DataRobot. He holds a Bachelor of Engineering (Honours) in Electronics with a major in Telecommunications. Ee Kin is an expert in the field of Deep Learning, Data Science, Machine Learning, Artificial Intelligence, Supervised Learning, Unsupervised Learning, Python, Keras, Pytorch, and related technologies. He has a proven track record of delivering successful projects in these areas and is dedicated to staying up to date with the latest advancements in the field.
Read more about Ee Kin Chin