pdf | 20.77 MB | English | Isbn: B0BS5XKHW3 | Author: Ayush Somani | Year: 2023
Description:
Alıntı:
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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Kod:
https://nitroflare.com/view/DDBEC95224450FF/
Kod:
https://rapidgator.net/file/67d09bc2b208e00f8fdc744606681112/