Reprinted from: Machine Heart Master these 17 methods to accelerate your PyTorch deep learning training in the most effortless way. Recently, a post on Reddit has gone viral. The topic is about how to speed up PyTorch training. The original author is Lorenz Kuhn, a master’s student in computer science at ETH Zurich, who introduces … Read more
Source: AI Snail Car, Extreme City Platform This article is about 9200 words long, and it is recommended to read for more than 10 minutes. This article briefly introduces several common CNN optimization methods and shares relevant experiences. Author | Li Ming Huai JinSource | https://zhuanlan.zhihu.com/p/80361782 Introduction Convolution is one of the core computations in … Read more
Source: Shi Zhi AI wisemodel This article contains 3335 words, and it is recommended to read in 7 minutes. This article introduces the benchmark tests conducted by the research teams from the Hong Kong University of Science and Technology and Beijing DaMo Technology on the performance of different sizes of LLMs across various GPU platforms. … Read more
Optimization Models 1.1 Mathematical Programming Models Linear programming, integer linear programming, nonlinear programming, multi-objective programming, dynamic programming. 1.2 Differential Equation Models Stagnation growth model, SARS transmission model. 1.3 Graph Theory and Network Optimization Problems Shortest path problem, maximum flow problem, minimum cost maximum flow problem, minimum spanning tree problem (MST), traveling salesman problem (TSP), graph … Read more
Click the text at the bottom left corner “Read the Original” to jump to IEEE Xplore to view the paper on your mobile! ✦ ✦ This paper addresses the issue of how to improve the effectiveness of power grid control by enhancing the intelligence level of agents. It proposes a theory and method for the … Read more
Source: Human-Machine and Cognitive LaboratoryIn complex dynamic game environments, collaborative control and decision-making among multiple agents is often a highly challenging problem, involving theories and technologies from various fields such as game theory, control theory, multi-agent systems, and machine learning. The goal of multiple agents is typically to optimize collective benefits while addressing conflicts and … Read more
Domestic AI DeepSeek Has received widespread attention in the tech circles of China and the United States, and is also referred to as “The Mysterious Eastern Power”. DeepSeek has surpassed ChatGPT, topping the free app chart in the Apple App Store in the US. Its usage has skyrocketed, making it the fastest application to break … Read more
Recently the domestic AI DeepSeek has gained widespread attention in the tech circles of China and the United States and is also referred to as the “Mysterious Eastern Power” DeepSeek has surpassed ChatGPT, topping the free app charts in the Apple App Store in the United States. Its usage has skyrocketed, making it the fastest … Read more
Source: ZHUAN ZHI This article is a book introduction, recommended reading time: 5 minutes. This book provides a comprehensive and concise overview of the mathematical engineering of deep learning. This book provides a comprehensive and concise overview of the mathematical engineering of deep learning. In addition to outlining the fundamentals of deep learning, the course … Read more
This article is reproduced from Machine Heart.This overview paper lists important research achievements in deep learning in recent years, covering methods, architectures, as well as regularization and optimization techniques. Machine Heart believes that this overview is a good reference for beginners in deep learning, helping to form a basic academic landscape and guiding literature searches. … Read more