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BOOKS - Interpretability in Deep Learning
Interpretability in Deep Learning - Ayush Somani April 30, 2023 PDF BOOKS
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Interpretability in Deep Learning
Author: Ayush Somani
Year: April 30, 2023
Format: PDF
File size: PDF 13 MB
Language: English

This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In addition, it includes several case studies from application-oriented articles in the fields of computer vision, optics and machine learning related topic. The book can be used as a monograph on interpretability in deep learning covering the most recent topics as well as a textbook for graduate students. Scientists with research, development and application responsibilities benefit from its systematic exposition.

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