Attention Mechanism

Discussion on Absolute, Relative, and Rotational Position Encoding in Transformers

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Discussion on Absolute, Relative, and Rotational Position Encoding in Transformers

Click the card below to follow the “AI Frontier Express” public account Various important resources delivered promptly Reprinted from Zhihu: Yao Yuan Link: https://zhuanlan.zhihu.com/p/17311602488 1. Introduction The attention mechanism in Transformer [1] can effectively model the correlations between tokens, achieving significant performance improvements in many tasks. However, the attention mechanism itself does not have the … Read more

Transformers as Support Vector Machines

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Transformers as Support Vector Machines

Machine Heart reports Editors: Danjiang, Xiaozhou SVM is all you need; Support Vector Machines are never out of date. The Transformer is a new theoretical model of Support Vector Machines (SVM) that has sparked discussion in academia. Last weekend, a paper from the University of Pennsylvania and the University of California, Riverside, sought to explore … Read more

A Comprehensive Guide to Building Transformers

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A Comprehensive Guide to Building Transformers

This article aims to introduce the Transformer model. Originally developed for machine translation, this model has since been widely applied in various fields such as computer recognition and multimodal tasks. The Transformer model introduces self-attention mechanisms and positional encoding, and its architecture mainly consists of an input part, an output part, and encoders and decoders. … Read more

Illustrated Transformer: Principles of Attention Calculation

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Illustrated Transformer: Principles of Attention Calculation

This is the fourth translation in the Illustrated Transformer series. The series is authored by Ketan Doshi and published on Medium. During the translation process, I modified some illustrations and optimized and supplemented some descriptions based on the code provided in Li Mu’s “Hands-On Deep Learning with Pytorch”. The original article link can be found … Read more

Self-Attention Replacement Technology in Stable Diffusion

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Self-Attention Replacement Technology in Stable Diffusion

↑ ClickBlue Text Follow the Jishi Platform Author丨Genius Programmer Zhou Yifan Source丨Genius Programmer Zhou Yifan Editor丨Jishi Platform Jishi Guide In this article, the author presents a relatively complex self-attention replacement example project developed based on Diffusers, aimed at enhancing the consistency of SD video generation. Throughout this process, the author discusses the usage of AttentionProcessor-related … Read more

Master RNN and Attention Mechanism in Four Weeks

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Master RNN and Attention Mechanism in Four Weeks

The hands-on deep learning live course has completed the first three parts! In the past 4 months, Dr. Mu Li, a senior chief scientist at Amazon has explained the basics of deep learning, convolutional neural networks, and computer vision. Since the course started, over 10,000 people have participated in the live learning, and the course … Read more

Google Proposes RNN-Based Transformer for Long Text Modeling

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Google Proposes RNN-Based Transformer for Long Text Modeling

MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP graduate students, university teachers, and corporate researchers. The vision of the community is to promote communication between the academic and industrial circles of natural language processing and machine learning, as well … Read more

Current Research Status of Attention Mechanisms

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Current Research Status of Attention Mechanisms

Click the above“Machine Learning and Generative Adversarial Networks” to follow and star Get interesting and fun cutting-edge content! Author on Zhihu: Mr. Good Good, please delete if infringing https://zhuanlan.zhihu.com/p/361893386 1 Background Knowledge The Attention mechanism was first proposed in the field of visual images, probably in the 1990s, but it really gained popularity with the … Read more

Understanding Attention Mechanism in NLP with Code Examples

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Understanding Attention Mechanism in NLP with Code Examples

Produced by Machine Learning Algorithms and Natural Language Processing @Official Account Original Column Author Don.hub Position | Algorithm Engineer at JD.com School | Imperial College London Outline Intuition Analysis Pros Cons From Seq2Seq To Attention Model Seq2Seq is important, but its flaws are obvious Attention was born Write the encoder and decoder model Taxonomy of … Read more

Introduction to Attention Mechanism

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Introduction to Attention Mechanism

The attention mechanism is mentioned in both of the following articles: How to make chatbot conversations more informative and how to automatically generate text summaries. Today, let’s take a look at what attention is. This paper is considered the first work using the attention mechanism in NLP. They applied the attention mechanism to Neural Machine … Read more