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Download Interpretability in Deep Learning by Ayush Somani; Dilip K. Prasad; Alexander Horsch 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.
Detailed Information
| Author: | Ayush Somani; Dilip K. Prasad; Alexander Horsch |
|---|---|
| Publication Year: | 2023 |
| ISBN: | 9783031206399 |
| Pages: | 483 |
| Language: | English |
| File Size: | 11.133 |
| Format: | |
| Price: | FREE |
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