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Viac informácií o knihe Interpretability in Deep Learning

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 398 bodov

Anotácia knihy

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.

 

 

Parametre knihy

Zaradenie knihy Books in German Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Celý názov: Interpretability in Deep Learning
• Autor: Dilip K. Prasad, Alexander Horsch
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 488
• EAN: 9783031206412
• ISBN: 303120641X
• ID: 45871161
• Nakladateľ: Springer International Publishing
• Hmotnosť: 821 g
• Rozmery: 235 × 155 × 25 mm
• Dátum vydania: 01. June 2023

Obľúbené z iného súdka

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