Source: Artificial Intelligence Research This article is approximately 5400 words long and is recommended for a reading time of over 10 minutes. This article will help you understand Transformers from all aspects through a Q&A format. Source: Zhihu Author: Wang Chen, who asks questions @ Zhihu Why summarize Transformers through eighteen questions? There are two … Read more
Machine Learning Algorithms and Natural Language Processing(ML-NLP) is one of the largest natural language processing communities both domestically and internationally, gathering over 500,000 subscribers, covering NLP master’s and doctoral students, university teachers, and corporate researchers. Community Vision is to promote communication and progress between the academic and industrial circles of natural language processing and enthusiasts … Read more
Click the above“Beginner Learning Visuals” to selectStar or “Pin” Important content delivered promptly Generation of Attention Reason:《Sequence to Sequence Learning with Neural Networks》 Reason for introducing Attention model: Seq2seq compresses the input sequence into a fixed-size hidden variable, similar to our compressed files. This process is lossy and forces the loss of much information from … Read more
Self-Attention Mechanism The Self-Attention mechanism (Self-Attention)https://so.csdn.net/so/search?q=Self-Attention&spm=1001.2101.3001.7020, as a type of attention mechanism, is also known as intra Attention. It is an important component of the famous Transformer model. It allows the model to allocate weights within the same sequence, thereby focusing on different parts of the sequence to extract features. This mechanism is very effective … Read more
Source | Zhihu Q&A Address | https://www.zhihu.com/question/298810062 This article is for academic sharing only. Please contact us for removal if there are any copyright issues. 01 Answer 1: Author – Not Uncle Let’s directly use torch to implement a Self-Attention and discuss: 1. First, define three linear transformation matrices: query, key, and value: class BertSelfAttention(nn.Module): … Read more
Click on the above “Beginner’s Guide to Vision“, choose to add “Star” or “Pin“ Important content delivered first This article is reproduced from Zhihu, with the author’s permission. https://zhuanlan.zhihu.com/p/146130215 Previously, I was looking at the self-attention in the DETR paper, and combined with the attention mechanism often mentioned in the lab meetings, I spent time … Read more
Click on the above“Visual Learning for Beginners” to selectStar or “Top” Important information delivered promptly Source | Zhihu Author | Li Xinchun Source | https://zhuanlan.zhihu.com/p/106662375 For academic exchange only, please contact for removal if there is any infringement The Attention mechanism is a very important and effective technique in deep learning. This article will briefly … Read more
The three fundamental elements of artificial intelligence are data, computing power, and algorithms, which are interdependent and mutually supportive, driving the rapid development of artificial intelligence. This article will outline the current development status of cutting-edge artificial intelligence from the perspective of algorithms and models. ｜Status of Algorithm and Model Development As one of the … Read more
In April 2024, Academician Zhang Bo of the Chinese Academy of Sciences, Professor of Computer Science at Tsinghua University, and Honorary Dean of the Tsinghua University Artificial Intelligence Research Institute gave a lecture titled “Entering the ‘No-Man’s Land’: Exploring the Path of Artificial Intelligence” at Tsinghua University’s “Humanities Tsinghua Forum”. Academician Zhang elaborated on the … Read more
When discussing the concepts of artificial intelligence (AI), machine learning (ML), and deep learning (DL), we first need to clarify their definitions and their relationships with each other. Artificial intelligence, as a broad field, aims to simulate and implement human intelligence through computer programs or machines, encompassing various capabilities such as perception, understanding, judgment, reasoning, … Read more