Gpu-Accelerated Deep Learning: Essential Gpu Ideas, Deep Learning Frameworks, and Optimization Approaches

Name: Gpu-Accelerated Deep Learning: Essential Gpu Ideas, Deep Learning Frameworks, and Optimization Approaches
Brand: Apress
SKU: 9798868820823
Price: 4084.0 INR
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by Ramchandra S. Mangrulkar , Pallavi Vijay Chavan

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ISBN13: 9798868820823
Binding: Paperback
Subject: N/A
Publisher: Apress
Publisher Imprint: Apress
Publication Date: January 3, 2026
Pages: 146
Original Price: USD 59.99
Language: English
Edition: First Edition
Item Weight: 264 grams
BISAC Subject(s): Programming / Microsoft

About The Author

Dr. Ramchandra Sharad Mangrulkar is a Professor in the Department of Information Technology at Dwarkadas J. Sanghvi College of Engineering in Mumbai, India. He holds various memberships in professional organizations such as IEEE, ISTE, ACM, and IACSIT. He completed his Doctor of Philosophy (Ph.D.) in Computer Science and Engineering from S.G.B. Amravati University in Maharashtra, and Master of Technology (MTech) degree in Computer Science and Engineering from the National Institute of Technology, Rourkela. Dr. Mangrulkar is proficient in several technologies and tools, including Microsoft's Power BI, Power Automate, Power Query, Power Virtual Agents, Google's Dialog Flow, and Overleaf. With over 23 years of combined teaching and administrative experience, Dr. Mangrulkar has established himself as a knowledgeable and skilled professional in his field. He has also obtained certifications such as Certified Network Security Specialist (ICSI - CNSS) from ICSI, UK. Dr. Mangrulkar has a strong publication record with 95 publications including refereed/peer-reviewed international journal publications, book chapters with international publishers (including Scopus indexed ones), and international conference publications.

Dr. Pallavi Vijay Chavan is an Associate Professor in the Department of Information Technology at Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai, MH, India. She has been in academics since the past 17 years and has worked in the areas of computing theory, data science, and network security. In her academic journey, she has published research work in the data science and security domains with reputed publishers including Springer, Elsevier, CRC Press, and Inderscience. She has published 2 books, 7+ book chapters, 10+ international journal papers and 30+ international conference papers. She is currently guiding 5 Ph.D. research scholars. She completed her Ph.D. from Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, MH, India in 2017. She secured the first merit position in Nagpur University for the degree of B.E. in Computer Engineering in 2003. She is recipient of research grants from UGC, CSIR, and University of Mumbai. She is an active reviewer for Elsevier and Inderscience journals. Her firm belief is "Teaching is a mission."

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