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Download Interpretability in Deep Learning by Ayush Somani in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Interpretability in Deep Learning
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.
Detailed Information
| Author: | Ayush Somani |
|---|---|
| Publication Year: | 2023 |
| ISBN: | 9783031206382 |
| Pages: | 483 |
| Language: | English |
| File Size: | 13 |
| Format: | |
| Price: | FREE |
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