Emerging trends such as explainable artificial intelligence (XAI), few-shot learning, and neural architecture search (NAS) push the boundaries of current neural networks. These cutting-edge networks are transforming the design and efficiency in modern applications, including computer vision, natural language processing (NLP), and autonomous systems. They enable engineers and data scientists to design efficient models, accelerating innovation in sectors like healthcare, biotechnology, and smart systems. The practical implementation techniques of these advanced neural networks are ideal for optimizing neural networks in real-world scenarios and solving real-world problems. Neural Network Advancements in the Age of AI provides a comprehensive exploration of neural networks, emphasizing both the theoretical foundations and practical applications across various fields. It bridges the gap between theory and practice, making neural networks accessible to both researchers and practitioners. Covering topics such as machine translation, predictive maintenance, and skill acquisition, this book is an excellent resource for AI engineers, data scientists, software developers, healthcare professionals, financial practitioners, engineers, computer scientists, professionals, researchers, scholars, academicians, and more.
Edited by:
Sarah Benziane, Fatiha Guerroudji Meddah Imprint: IGI Global Country of Publication: United States [Currently unable to ship to USA: see Shipping Info] Dimensions:
Height: 254mm,
Width: 178mm,
Spine: 32mm
Weight: 1.211kg ISBN:9798337307350 Pages: 600 Publication Date:29 May 2025 Audience:
College/higher education
,
Professional and scholarly
,
Primary
,
Undergraduate
Format:Hardback Publisher's Status: Active