Large models refer to machine learning models with a large number of parameters and complex computational structures. This article starts from the basic concept of large models, distinguishes related concepts that are easily confused in the field of large models, and provides a detailed interpretation of the development history of large models, serving as a … Read more
Source: Fresh Dates Classroom Original Author: Little Date Jun This article provides a simple and accessible introduction to what large models are, how they are trained, and their applications. What Are Large Models Large models, known in English as Large Model, were also referred to as Foundation Model in the early days. Large model is … Read more
Author｜xys430381_1 https://blog.csdn.net/xys430381_1/article/details/89323444 This article is for academic sharing only. The copyright belongs to the author. If there is any infringement, please contact the backend for deletion. Table of Contents Overview Why Visual Attention is Needed Classification of Attention and Basic Concepts Soft Attention The application of two-level attention models in deep convolutional neural network for … Read more
Follow our official account to discover the beauty of CV technology This article shares the AAAI 2019 paper『AFS: An Attention-based mechanism for Supervised Feature Selection』, proposing a supervised feature selection mechanism based on the attention mechanism. Details are as follows: Paper link: https://arxiv.org/abs/1902.11074 Project link: https://github.com/upup123/AAAI-2019-AFS 01 Background and Introduction Feature selection is generally an … Read more
Click the “Beginner’s Guide to Vision” above, and choose to add “Star” or “Top“ Important content delivered at the first time Author｜xys430381_1 https://blog.csdn.net/xys430381_1/article/details/89323444 This article is for academic sharing only, copyright belongs to the author. If there is any infringement, please contact the background for deletion. Table of Contents Overview Why Visual Attention is Needed … Read more
XU Wanxu, SHEN Yindong (School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei 430074) Abstract: Traditional bus travel time prediction models often ignore information from historical timestamps, leading to unsatisfactory prediction accuracy. To address the temporal nature of bus travel times, this paper proposes a prediction model based on the … Read more
Click on the "Xiaobai Learns Vision" above, select "Star" or "Pin" Heavy content delivered first This article is compiled from Zhihu Q&A, used for academic sharing only, copyright belongs to the author. If there is any infringement, please contact the backend for deletion. Viewpoint One Author | Guohao Li https://www.zhihu.com/question/366088445/answer/1023290162 Let’s talk about my understanding. … Read more
The attention mechanism is potentially a very useful method. In this issue, let’s understand the principles and methods behind the attention mechanism. The original text is in English from https://blog.heuritech.com/2016/01/20/attention-mechanism/ With the development of deep learning and artificial intelligence, many researchers are interested in the “attention mechanism” in neural networks. This article aims to provide … Read more
Source:Zhuanzhi This article is a multi-resource, recommended reading in 5 minutes. This article details the Attention model‘s concept, definition, impact, and how to get started with practical work. [Introduction]The Attention model has become an important concept in neural networks, and this article brings you the latest overview of this model, detailing its concept, definition, impact, … Read more
MLNLP(Machine Learning Algorithms and Natural Language Processing) community is one of the largest natural language processing communities in China and abroad, gathering over 500,000 subscribers, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial communities of natural … Read more