Starting the Journey of RNN, Commonly Known Four Structures of RNN One to One: This is the traditional application of neural networks, usually used for simple input to output tasks. For example, in image classification, the network receives an image as input and identifies the category of the object represented in the image. Specifically, suppose … Read more
Introduction Alexander J. Smola, the head of machine learning at Amazon Web Services, presented on the attention mechanism in deep learning at the ICML2019 conference, detailing the evolution from the earliest Nadaraya-Watson Estimator (NWE) to the latest Multiple Attention Heads. Authors | Alex Smola, Aston Zhang Translator | Xiaowen The report is divided into six … Read more
Source:Zhuanzhi This articlemultiresource， is recommended to readin 5 minutes。 This article details theAttention model‘s concepts, definitions, impacts, and how to start practical work. [Introduction]The Attention model has become an important concept in neural networks. This article brings you the latest overview of this model, detailing its concepts, definitions, impacts, and how to start practical work. … Read more
Click the “AI Meets Machine Learning” above to select the “star” public account Original content delivered first-hand 1. What is Attention Mechanism? In the past two years, attention models (Attention Models) have been widely used in various types of deep learning tasks such as natural language processing, image recognition, and speech recognition, making it one … Read more
1Compiled by New Intelligence Source: machinelearningmastery.com Author: Jason Brownlee Compiled by: Zhu Huan [New Intelligence Overview] In the field of Natural Language Processing (NLP), the promise of deep learning is: to bring better performance to new models that may require more data but no longer need as much linguistic expertise. In the field of NLP, … Read more
Selected from arXiv Compiled by Machine Heart Contributors: Li Yazhou, Jiang Siyuan This article starts with two papers to briefly introduce the basic classifications and concepts of Natural Language Processing (NLP), and then showcases NLP in deep learning to the readers. Both papers are excellent introductory reviews, and readers who wish to delve deeper into … Read more
Excerpt from Medium Author: Camron Godbout Translated by: Machine Heart Contributors: Duxiade What are Recurrent Neural Networks (RNNs) and how do we use them? This article discusses the basics of RNNs, which are increasingly popular deep learning models. The intention of this article is not to delve into the obscure mathematical principles but to provide … Read more
Follow the WeChat official account “ML_NLP“ Set as “Starred“, delivering heavy content to you first! Source | Zhihu Link | https://zhuanlan.zhihu.com/p/78850152 Author | Ailuo Yue Editor | Machine Learning Algorithms and Natural Language Processing WeChat Official Account This article is for academic sharing only. If there is any infringement, please contact us for removal. 1 … Read more
Click the “AI Park” above to follow the public account and choose to add “Star Mark” or “Top”. Author: Raimi Karim Translator: ronghuaiyang Introduction Previously, I shared several articles on attention, feeling unsatisfied. This time, I will explain the Attention mechanism using GIFs, making it easy to understand, and explain how it is used in … Read more