Dilip K. Prasad – författare
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5 produkter
Interpretability in Deep Learning
Av Ayush Somani, Alexander Horsch m. fl.
Inbunden, 2023
1802 kr
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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 …
Interpretability in Deep Learning
Av Dilip K. Prasad, Alexander Horsch m. fl.
E-bok, 2023
2350 kr
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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 …
Interpretability in Deep Learning
Av Ayush Somani, Alexander Horsch m. fl.
Häftad, 2024
1802 kr
Lägg i varukorg
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 …
Cloud Computing for Everyone
Understanding principles, architecture, security, data, and green practices
Av Rohit Agarwal, Dilip K. Prasad
Häftad, 2025
552 kr
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This book explores cloud computing, starting with fundamental concepts, history, characteristics, service and deployment models. It covers cloud security and privacy, including threats, mechanisms, and best practices. The book then examines cloud migration strategies and cost management, including …
GENDER AND DIVERSITY POLICY IN AI: STRATEGIES, METRICS, AND CASE STUDIES
Av Arif Ahmed Sekh, Dilip K Prasad
Inbunden, 2025
1475 kr
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This unique compendium explores the crucial role of inclusivity in the development, deployment, and governance of artificial intelligence systems. It addresses the growing ethical and social concerns surrounding the lack of representation in AI, emphasizing how gender and diversity are integral to …