Machine Heart Reports Editor: Zhao Yang Recently, a paper was published on arXiv, providing a new interpretation of the mathematical principles behind Transformers. The content is extensive and rich in knowledge, and I highly recommend reading the original. In 2017, Vaswani et al. published “Attention Is All You Need,” marking a significant milestone in the … Read more
Introduction In recent years, deep learning has made tremendous progress in the field of Natural Language Processing (NLP), and the Transformer model is undoubtedly one of the best. Since the Google research team proposed the Transformer model in their paper “Attention is All You Need” in 2017, it has become the cornerstone for many NLP … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The community’s vision is to promote communication and progress among the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more
Source | Zhihu Author | JayLou Link | https://zhuanlan.zhihu.com/p/53682800 Editor | Deep Learning Matters WeChat Public Account This article is for academic sharing only. If there is any infringement, please contact us to delete. This article summarizes the attention mechanism (Attention) in natural language processing in a Q&A format and provides an in-depth analysis of … Read more
Question: I have searched various materials and read the original papers, which detail how Q, K, and V are obtained through certain operations to derive output results. However, I have not found any explanation of where Q, K, and V come from. Isn’t the input to a layer just a tensor? Why do we have … Read more
Join the professional CV group at Jishi, and interact with 10,000+ visual developers from top universities and companies like HKUST, Peking University, Tsinghua University, Chinese Academy of Sciences, CMU, Tencent, Baidu! We also provide monthly live sharing sessions with experts, real project requirements matching, and a collection of valuable information for industry technical exchanges. Follow … Read more
Click on the above “AI Meets Machine Learning“, and select “Star” public account Original content delivered first-hand In the previous article, we discussed the concept of attention. This article builds on that, providing a deeper understanding of the ideas surrounding attention and the latest self-attention mechanism. 1. The Essence of Attention Mechanism To better understand … Read more