machine learning edge computing (112 resultados)

Condición: New. In.

Soft cover. Condición: New. Language:Chinese.English.Author:JIAO LI CHENG GONG MAO GUO WANG SHUANG.Binding:Soft cover.Publisher:Xidian University Press Pub. Date :2008-08-01.

Condición: Hervorragend. Zustand: Hervorragend | Seiten: 428 | Sprache: Englisch | Produktart: Bücher.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 370.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days. 185.

Condición: New.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Edge Computing Solutions for Machine Learning Deployment discusses the architectural considerations and practical implementations of deploying AI models at the edge. The book covers hardware constraints, latency reduction, and data privacy concerns, emphasizing how edge solutions enable real-time analytics and decision-making. It explores various case studies where edge computing enhances the efficiency of machine learning applications across industries, from autonomous vehicles to IoT devices. The focus is on optimizing performance while minimizing reliance on centralized data centers. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advances towards thegoal ofenabling efficient implementation ofmachine learning models onresource-constrained systems, covering different application domains. Thefocus is onpresenting interesting and new use cases ofapplying machine learning toinnovative application domains, exploring theefficient hardware design ofefficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques forenergy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques forachieving even greater energy, reliability, and performance benefits.Discusses efficient implementation ofmachine learning in embedded, CPS, IoT, and edge computing;Offers comprehensive coverage ofhardware design, software design, and hardware/software co-design and co-optimization;Describes real applications todemonstrate how embedded, CPS, IoT, and edge applications benefit frommachine learning.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing;Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization;Describes real applications todemonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 222.

Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condición: New. In.

paperback. Condición: New. Paperback. Pub Date: 2020-01-01 Pages: 706 Language: Chinese Publisher: Mechanical Industry Press Deep Neural Networks on Mobile Platforms (Principle Architecture and Optimization)/Intelligent Systems and Technology Series: Deep Neural Networks on Mobile Platforms (Principle Architecture and Optimization)/Intelligent Systems and Technology Series Intensively talks about the algorithm. instruction set. neural network design and actual combat. massive data processing. mainstream framework tailo.