Zobrazeno 1 - 10
of 1 904 000
pro vyhledávání: '"Ming and"'
Autor:
Huang, Hsin-Ping, Wang, Xinyi, Bitton, Yonatan, Taitelbaum, Hagai, Tomar, Gaurav Singh, Chang, Ming-Wei, Jia, Xuhui, Chan, Kelvin C. K., Hu, Hexiang, Su, Yu-Chuan, Yang, Ming-Hsuan
Recent advancements in text-to-image generation have significantly enhanced the quality of synthesized images. Despite this progress, evaluations predominantly focus on aesthetic appeal or alignment with text prompts. Consequently, there is limited u
Externí odkaz:
http://arxiv.org/abs/2410.11824
Autor:
Feng, Pohsun, Bi, Ziqian, Yan, Lawrence K. Q., Wen, Yizhu, Peng, Benji, Liu, Junyu, Yin, Caitlyn Heqi, Wang, Tianyang, Chen, Keyu, Zhang, Sen, Li, Ming, Xu, Jiawei, Liu, Ming, Pan, Xuanhe, Wang, Jinlang, Niu, Qian
This article provides a detailed exploration of blockchain technology and its applications across various fields. It begins with an introduction to cryptography fundamentals, including symmetric and asymmetric encryption, and their roles in ensuring
Externí odkaz:
http://arxiv.org/abs/2410.10110
Autor:
Feng, Pohsun, Bi, Ziqian, Wen, Yizhu, Peng, Benji, Liu, Junyu, Yin, Caitlyn Heqi, Wang, Tianyang, Chen, Keyu, Zhang, Sen, Li, Ming, Xu, Jiawei, Liu, Ming, Pan, Xuanhe, Wang, Jinlang, Niu, Qian
This manuscript presents a comprehensive guide to Automated Machine Learning (AutoML), covering fundamental principles, practical implementations, and future trends. The paper is structured to assist both beginners and experienced practitioners, with
Externí odkaz:
http://arxiv.org/abs/2410.09596
Autor:
Li, Ming, Bi, Ziqian, Wang, Tianyang, Wen, Yizhu, Niu, Qian, Liu, Junyu, Peng, Benji, Zhang, Sen, Pan, Xuanhe, Xu, Jiawei, Wang, Jinlang, Chen, Keyu, Yin, Caitlyn Heqi, Feng, Pohsun, Liu, Ming
This book presents a comprehensive exploration of GPGPU (General Purpose Graphics Processing Unit) and its applications in deep learning and machine learning. It focuses on how parallel computing, particularly through the use of CUDA (Compute Unified
Externí odkaz:
http://arxiv.org/abs/2410.05686
The scheme of online optimization as a feedback controller is widely used to steer the states of a physical system to the optimal solution of a predefined optimization problem. Such methods focus on regulating the physical states to the optimal solut
Externí odkaz:
http://arxiv.org/abs/2410.03178
Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns
Autor:
Chen, Keyu, Bi, Ziqian, Wang, Tianyang, Wen, Yizhu, Feng, Pohsun, Niu, Qian, Liu, Junyu, Peng, Benji, Zhang, Sen, Li, Ming, Pan, Xuanhe, Xu, Jiawei, Wang, Jinlang, Yin, Caitlyn Heqi, Liu, Ming
This book, Design Patterns in Machine Learning and Deep Learning: Advancing Big Data Analytics Management, presents a comprehensive study of essential design patterns tailored for large-scale machine learning and deep learning applications. The book
Externí odkaz:
http://arxiv.org/abs/2410.03795
Autor:
Feng, Pohsun, Bi, Ziqian, Wen, Yizhu, Pan, Xuanhe, Peng, Benji, Liu, Ming, Xu, Jiawei, Chen, Keyu, Liu, Junyu, Yin, Caitlyn Heqi, Zhang, Sen, Wang, Jinlang, Niu, Qian, Li, Ming, Wang, Tianyang
This book serves as an introduction to deep learning and machine learning, focusing on their applications in big data analytics. It covers essential concepts, tools like ChatGPT and Claude, hardware recommendations, and practical guidance on setting
Externí odkaz:
http://arxiv.org/abs/2410.01268
Autor:
Wang, Tianyang, Bi, Ziqian, Chen, Keyu, Xu, Jiawei, Niu, Qian, Liu, Junyu, Peng, Benji, Li, Ming, Zhang, Sen, Pan, Xuanhe, Wang, Jinlang, Feng, Pohsun, Yin, Caitlyn Heqi, Wen, Yizhu, Liu, Ming
Object-Oriented Programming (OOP) has become a crucial paradigm for managing the growing complexity of modern software systems, particularly in fields like machine learning, deep learning, large language models (LLM), and data analytics. This work pr
Externí odkaz:
http://arxiv.org/abs/2409.19916
Autor:
Peng, Benji, Pan, Xuanhe, Wen, Yizhu, Bi, Ziqian, Chen, Keyu, Li, Ming, Liu, Ming, Niu, Qian, Liu, Junyu, Wang, Jinlang, Zhang, Sen, Xu, Jiawei, Feng, Pohsun
This book explores the role of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in driving the progress of big data analytics and management. The book focuses on simplifying the complex mathematical concepts behind deep lea
Externí odkaz:
http://arxiv.org/abs/2409.17120
Autor:
Chen, Keyu, Bi, Ziqian, Niu, Qian, Liu, Junyu, Peng, Benji, Zhang, Sen, Liu, Ming, Li, Ming, Pan, Xuanhe, Xu, Jiawei, Wang, Jinlang, Feng, Pohsun
This book focuses on the application of TensorFlow pre-trained models in deep learning, providing detailed guidance on effectively using these models for tasks such as image classification and object detection. It covers practical implementations of
Externí odkaz:
http://arxiv.org/abs/2409.13566