"Deep Learning on Edge Computing Devices" - similar Books and Chapters

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Deep Learning on Edge Computing Devices	Cong Shi; Haijun Liu; Ji Liu andXichuan Zhou	2022	Elsevier
Deep Learning and Edge Computing Solutions for High Performance Computing	A. Suresh; Sara Paiva	1st ed. 2021	Springer International Publishing
Artificial Intelligence and Machine Learning for EDGE Computing	Neeraj Singh; Parul Verma; Rajiv Pandey andSunil Khatri	2022	Academic Press
Deep Learning in Visual Computing: Explanations and Examples	Hassan Ugail	2022	Routledge
Deep Learning on Graphs	Yao Ma; Jiliang Tang	2021-09	Cambridge University Press
Deep Oceans (Living on the Edge)	Wendy Pfeffer	October 2002	Benchmark Books (NY);Benchmark Books
Tutorials on Machine learning& Deep-Learning	Kirill Eremenko and Hadelin de Ponteves
Proceedings of International Conference on Deep Learning, Computing and Intelligence: ICDCI 2021	Gunasekaran Manogaran; A. Shanthini; G. Vadivu	1st ed. 2022	Springer Nature Singapore
On the Edge of Magnetic Fusion Devices	Sergei Krasheninnikov; Andrei Smolyakov; Andrei Kukushkin	1st ed. 2020	Springer International Publishing
Adaptive Machine Learning Algorithms with Python: Solve Data Analytics and Machine Learning Problems on Edge Devices	Chanchal Chatterjee	1st ed.	Apress
Bankruptcy Prediction through Soft Computing based Deep Learning Technique	Arindam Chaudhuri; Soumya K Ghosh	1st ed. 2017	Springer Nature Singapore
Deep Learning and Parallel Computing Environment for Bioengineering Systems	Arun Kumar Sangaiah	2019	Academic Press
Quantum Computing: Physics, Blockchains, And Deep Learning Smart Networks:	Melanie Swan, Renato P. dos Santos, Frank Witte	2020	World Scientific
Mobile Edge Computing	Yan Zhang	1st ed. 2022	Springer International Publishing
Mobile Edge Computing	Anwesha Mukherjee; Debashis De; Soumya K. Ghosh; Rajkumar Buyya	1st ed. 2021	Springer International Publishing
Death on the deep edge: a thriller	Jago Hayden	2003	Black Lion Books
Deep Reinforcement Learning Hands-On	Maxim Lapan	2020	Packt
Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows	Thimira Amaratunga	1st ed.	Apress
Edge Intelligence in the Making: Optimization, Deep Learning, and Applications	Sen Lin; Zhi Zhou; Zhaofeng Zhang; Xu Chen; Junshan Zhang		Springer International Publishing
Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices	Amitoj Singh; Vinay Kukreja; Taghi Javdani Gandomani	2022	Routledge
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
Deep Learning Applications on Edge Computing	Naresh Kumar Trivedi; Abhineet Anand; Umesh Kumar Lilhore; Kalpna Guleria	Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices	Amitoj Singh; Vinay Kukreja; Taghi Javdani Gandomani	2022	Routledge
Overview of deep learning on edge devices		Mastering Computer Vision with TensorFlow 2. x: Build advanced computer vision applications using machine learning and deep learning techniques	Krishnendu Kar	2020	Packt Publishing
Deep Learning for Edge Computing: A Survey	Joffre Luis Leon Veas; Luis Bryan Cordero Solis; Galo Enrique Valverde Landivar; Miguel Angel Quiroz Martinez	Artificial Intelligence, Computer and Software Engineering Advances: Proceedings of the CIT 2020 Volume 1	Miguel Botto-Tobar; Henry Cruz; Angela Díaz Cadena	1st ed. 2021	Springer International Publishing
Processing Systems for Deep Learning Inference on Edge Devices	Mário Véstias	Convergence of Artificial Intelligence and the Internet of Things	George Mastorakis; Constandinos X. Mavromoustakis; Jordi Mongay Batalla; Evangelos Pallis	1st ed. 2020	Springer International Publishing
Computation Offloading in Edge Computing Based on Deep Reinforcement Learning	MingChu Li; Ning Mao; Xiao Zheng; Thippa Reddy Gadekallu	Proceedings of International Conference on Computing and Communication Networks: ICCCN 2021	Ali Kashif Bashir; Giancarlo Fortino; Ashish Khanna; Deepak Gupta	1st ed. 2022	Springer Nature Singapore
Deep Learning for IoT Traffic Prediction Based on Edge Computing	Ali R. Abdellah; Volkov Artem; Ammar Muthanna; Denis Gallyamov; Andrey Koucheryavy	Distributed Computer and Communication Networks: Control, Computation, Communications: 23rd International Conference, DCCN 2020, Moscow, Russia, September 14-18, 2020, Revised Selected Papers	Vladimir M. Vishnevskiy; Konstantin E. Samouylov; Dmitry V. Kozyrev	1st ed. 2020	Springer International Publishing
Chapter Eight - Energy-efficient deep learning inference on edge devices	Francesco Daghero; Daniele Jahier Pagliari; Massimo Poncino	Hardware Accelerator Systems for Artificial Intelligence and Machine Learning	Shiho Kim; Ganesh Chandra Deka	2021	Elsevier
Fully Distributed Deep Learning Inference on Resource-Constrained Edge Devices	Rafael Stahl; Zhuoran Zhao; Daniel Mueller-Gritschneder; Andreas Gerstlauer; Ulf Schlichtmann	Embedded Computer Systems: Architectures, Modeling, and Simulation: 19th International Conference, SAMOS 2019, Samos, Greece, July 7–11, 2019, Proceedings	Dionisios N. Pnevmatikatos; Maxime Pelcat; Matthias Jung	1st ed. 2019	Springer International Publishing
Deep Learning and Edge Computing Solution for High-Performance Computing	Vikram Rajpoot; Aditya Patel; Praveen Kumar Manepalli; Akash Saxena	Deep Learning and Edge Computing Solutions for High Performance Computing	A. Suresh; Sara Paiva	1st ed. 2021	Springer International Publishing
Deep-Learning-Empowered Edge Computing-Based IoT Frameworks	Mithra Venkatesan; Anju V. Kulkarni; Radhika Menon	Internet of Things: Frameworks for Enabling and Emerging Technologies	Bharat Bhusan; Sudhir Kumar Sharma; Bhuvan Unhelkar; Muhammad Fazal Ijaz; Lamia Karim	2022	Routledge
Deep Reinforcement Learning for Mobile Edge Computing Systems	Ming Tang; Vincent W. S. Wong	Broadband Communications, Computing, and Control for Ubiquitous Intelligence	Lin Cai; Brian L. Mark; Jianping Pan	1st ed. 2022	Springer International Publishing
Audio Recognition Using Deep Learning for Edge Devices	Aditya Kulkarni; Vaishali Jabade; Aniket Patil	Advances in Computing and Data Sciences: 6th International Conference, ICACDS 2022, Kurnool, India, April 22–23, 2022, Revised Selected Papers, Part II	Mayank Singh; Vipin Tyagi; P. K. Gupta; Jan Flusser; Tuncer Ören	1st ed. 2022	Springer International Publishing
Chapter 2: Deep Learning on Edge		Smart Systems Design, Applications, and Challenges	João M.F. Rodrigues, Pedro J.S. Cardoso, Jânio Monteiro, Célia M.Q. Ramos	2020	Engineering Science Reference
Chapter 11: Deep Learning on Edge Devices with CPU/GPU Optimization		Mastering Computer Vision with TensorFlow 2. x: Build advanced computer vision applications using machine learning and deep learning techniques	Krishnendu Kar	2020	Packt Publishing
Intelligent Mobile Edge Computing: A Deep Learning Based Approach	Abhirup Khanna; Anushree Sah; Tanupriya Choudhury	Advances in Computing and Data Sciences: 4th International Conference, ICACDS 2020, Valletta, Malta, April 24–25, 2020, Revised Selected Papers	Mayank Singh; P. K. Gupta; Vipin Tyagi; Jan Flusser; Tuncer Ören; Gianluca Valentino	1st ed. 2020	Springer Nature Singapore
Deep Learning-Based Task Offloading for Vehicular Edge Computing	Feng Zeng; Chengsheng Liu; Junzhe Tangjiang; Wenjia Li	Wireless Algorithms, Systems, and Applications: 16th International Conference, WASA 2021, Nanjing, China, June 25–27, 2021, Proceedings, Part III	Zhe Liu; Fan Wu; Sajal K. Das	1st ed. 2021	Springer International Publishing
Multiple Workflows Offloading Based on Deep Reinforcement Learning in Mobile Edge Computing	Yongqiang Gao; Yanping Wang	Algorithms and Architectures for Parallel Processing: 21st International Conference, ICA3PP 2021, Virtual Event, December 3–5, 2021, Proceedings, Part I	Yongxuan Lai; Tian Wang; Min Jiang; Guangquan Xu; Wei Liang; Aniello Castiglione	1st ed. 2022	Springer International Publishing
Edge Computing Energy-Efficient Resource Scheduling Based on Deep Reinforcement Learning and Imitation Learning	Hengliang Tang; Rongxin Jiao; Tingting Dong; Huilin Qin; Fei Xue	Bio-Inspired Computing: Theories and Applications: 16th International Conference, BIC-TA 2021, Taiyuan, China, December 17–19, 2021, Revised Selected Papers, Part II	Linqiang Pan; Zhihua Cui; Jianghui Cai; Lianghao Li	1st ed. 2022	Springer Nature Singapore
Understanding Sensor Data Using Deep Learning Methods on Resource-Constrained Edge Devices	Junzhao Du; Sicong Liu; Yuheng Wei; Hui Liu; Xin Wang; Kaiming Nan	Wireless Sensor Networks: 11th China Wireless Sensor Network Conference, CWSN 2017, Tianjin, China, October 12-14, 2017, Revised Selected Papers	Jianzhong Li; Huadong Ma; Keqiu Li; Li Cui; Limin Sun; Zenghua Zhao; Xiaofei Wang	1st ed. 2018	Springer Nature Singapore
Cutting-Edge Deep Learning Projects		Keras to Kubernetes - The Journey Of A Machine Learning Model To Production	Dattaraj Jagdish Rao	2019	John Wiley & Sons
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries