Hello everyone~ Today, let’s talk about the Transformer ~ First, I’ll describe it in very simple terms to ensure that beginners can understand. Transformer is a “super brain” that can process sequential data such as sentences, lyrics, and articles. It excels at these tasks because it can remember and understand how each word in a … Read more
1.Origin Transformers are an important deep learning architecture that originated in the fields of computer science and artificial intelligence. They have achieved remarkable success in natural language processing and other sequential data tasks. The history and evolution of this architecture are worth exploring. The story of Transformers began in 2017, when Vaswani et al. first … Read more
Introduction The transformer is a framework that cannot be overlooked in the field of NLP and even deep learning as a whole. Most large language models (LLMs) are trained using it to generate models, so the transformer is a framework that every robot developer or artificial intelligence developer cannot bypass. This article will gradually unveil … Read more
Follow the public account “ML_NLP“ Set as “Starred“, delivering heavy content directly to you! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/79872507 Author | Machine Heart Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article is for academic sharing only, if there is any infringement, please contact us to delete it. In the … Read more
This article summarizes the attention mechanism in natural language processing (NLP) in a Q&A format and provides an in-depth analysis of the Transformer. Table of Contents 1. Analysis of Attention Mechanism1. Why introduce the attention mechanism?2. What types of attention mechanisms are there? (How are they classified?)3. What is the computational process of the attention … Read more
Continuing from the last time: Attention Mechanism Series 1 – Why Introduce Attention Mechanism First, let’s talk about the role of the attention mechanism: It allows the model to dynamically focus on and process any part of the entire input sequence, without being limited by a fixed window size. This way, the model can selectively … Read more
Follow our WeChat public account “ML_NLP“ Set as “Starred“, delivering heavy content to you first! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/339123850 Author | Ma Dong Shen Me Editor | Machine Learning Algorithms and Natural Language Processing WeChat Public Account This article is for academic sharing only. If there is any infringement, please contact us to … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered promptly! From | Zhihu Author | JayLou Link | https://zhuanlan.zhihu.com/p/53682800 Editor | Deep Learning Matters public account This article is for academic sharing only. If there is any infringement, please contact us to delete it. This article summarizes the attention mechanism in natural language … Read more
↑ ClickBlue Text Follow the Jishi Platform Author丨Cool Andy @ Zhihu Source丨https://zhuanlan.zhihu.com/p/125145283 Editor丨Jishi Platform Jishi Guide This article discusses the Attention mechanism in deep learning. It is not intended to review the various frameworks and applications of the Attention mechanism, but rather to introduce four representative and interesting works related to Attention and provide further … Read more
Programmers transitioning to AI are following this account👇👇👇 1. Difference Between Attention Mechanism and Self-Attention Mechanism The difference between Attention mechanism and Self-Attention mechanism The traditional Attention mechanism occurs between the elements of the Target and all elements in the Source. In simple terms, the calculation of weights in the Attention mechanism requires participation from … Read more