Baidu NLP Column Author: Baidu NLP 1. Introduction Text matching is an important foundational problem in natural language processing. Many tasks in natural language processing can be abstracted as text matching tasks. For example, web search can be abstracted as a relevance matching problem between web pages and user search queries, automatic question answering can … Read more
Big Data Digest works, reposting requires authorization Author| Han Xiaoyang && Long Xincheng Thanks| Owen for translating and providing part of the content from Recurrent Neural Networks Tutorial part 1 Source|http://blog.csdn.net/han_xiaoyang/article/details/51253274 Big Data Digest’s “Machine Learning” column is established! We welcome everyone to leave valuable comments and submit articles to us. How to join us? … Read more
Big Data Digest Works Compiled by: Fu Yiyang, Ding Hui, Aileen In the wave of AI, the loudest voices are about neural networks. However, AI is much more than that. Currently, the most funding in the AI technology field is being directed towards research on neural networks. To many, neural network technology seems to be … Read more
This article is written by: Electric Light Phantom Alchemist Graduate topic Top 1, Shanghai Jiao Tong University Computer Science first place, first prize in high school physics competition, meme master, national award in computer science from Shanghai Jiao Tong University, currently a PhD student at CUHK https://zhuanlan.zhihu.com/p/362366192 Attention has become a hot topic in the … Read more
↑ ClickBlue Text Follow the Extreme City Platform Author丨Electric Light Phantom Alchemy@Zhihu (Authorized) Source丨https://zhuanlan.zhihu.com/p/362366192 Editor丨Extreme City Platform Extreme City Guide Attention has become popular in the entire AI field, whether in machine vision or natural language processing, it is inseparable from Attention, transformer, or BERT. The author of this article follows the EM nine-layer tower … Read more
Introduction In the fields of Natural Language Processing (NLP), Computer Vision (CV), and other deep learning domains, the Attention mechanism has become a crucial tool. It helps models focus on the most critical parts while processing large amounts of information, significantly improving performance. For many Python learners new to deep learning, understanding and mastering the … 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
Introduction The left side of the figure below shows the traditional Seq2Seq model (which encodes a sequence and then decodes it back into a sequence). This is a conventional LSTM-based model, where the hidden state at a given timestamp in the Decoder only depends on the current timestamp’s hidden state and the output from the … Read more
Follow the public account “ML_NLP“ Set as “Starred“, delivering heavy content promptly! Produced by Machine Learning Algorithms and Natural Language Processing Original Column Author: Don.hub Organization | JD Algorithm Engineer School | Imperial College London Outline Intuition Analysis Pros Cons From Seq2Seq To Attention Model Seq2Seq is important, but its drawbacks are also evident Attention … 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