Attention

Research on CNN-BiLSTM Short-term Power Load Forecasting Model Based on Attention Mechanism and ResNet

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Research on CNN-BiLSTM Short-term Power Load Forecasting Model Based on Attention Mechanism and ResNet

Research on CNN-BiLSTM Short-term Power Load Forecasting Model Based on Attention Mechanism and ResNet WANG Lize1,2, XIE Dong1,2*, ZHOU Lifeng1,2, WANG Hanqing1,2 (1.School of Civil Engineering, University of South China, Hengyang, Hunan 421001, China;2.Hunan Engineering Laboratory of Building Environmental Control Technology, University of South China, Hengyang, Hunan 421001, China) Abstract：Short term power load forecasting is … Read more

Comprehensive Guide to Seq2Seq Attention Model

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Comprehensive Guide to Seq2Seq Attention Model

Follow us on WeChat: ML_NLP. Set as a “Starred” account for heavy content delivered to you first! Source: | Zhihu Link: | https://zhuanlan.zhihu.com/p/40920384 Author: | Yuanche.Sh Editor: | Machine Learning Algorithms and Natural Language Processing WeChat account This article is for academic sharing only. If there is any infringement, please contact us to delete it. … Read more

Bus Travel Time Prediction Based on Attention-LSTM Neural Network

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Bus Travel Time Prediction Based on Attention-LSTM Neural Network

XU Wanxu, SHEN Yindong (School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei 430074) Abstract: Traditional bus travel time prediction models often ignore information from historical timestamps, leading to unsatisfactory prediction accuracy. To address the temporal nature of bus travel times, this paper proposes a prediction model based on the … Read more

Understanding Attention Mechanism in Neural Networks

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Understanding Attention Mechanism in Neural Networks

Click I Love Computer Vision to get CVML new technologies faster This article is an interpretation of the commonly used Attention mechanism in papers by 52CV fans, reprinted with the author’s permission. Please do not reprint: https://juejin.im/post/5e57d69b6fb9a07c8a5a1aa2 Paper Title: “Attention Is All You Need” Authors: Ashish Vaswani Google Brain Published in: NIPS 2017 Introduction Remember … Read more

In-Depth Analysis of the Transformer Model

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In-Depth Analysis of the Transformer Model

Follow the public account “ML_NLP“ Set as “Starred” for heavy content delivered first! “ This article provides a deep analysis of the Transformer model, including the overall architecture, the background and details of the Attention structure, the meanings of QKV, the essence of Multi-head Attention, FFN, Positional Embedding, and Layer Normalization, as well as everything … Read more

Summary and Code Implementation of Attention Mechanisms in Deep Learning (2017-2021)

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Summary and Code Implementation of Attention Mechanisms in Deep Learning (2017-2021)

Machine Learning Algorithms and Natural Language Processing(ML-NLP) is one of the largest natural language processing communities both domestically and internationally, gathering over 500,000 subscribers, covering NLP master’s and doctoral students, university teachers, and corporate researchers. Community Vision is to promote communication and progress between the academic and industrial circles of natural language processing and enthusiasts … Read more

A Simple Explanation of Transformer to BERT Models

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A Simple Explanation of Transformer to BERT Models

In the past two years, the BERT model has become very popular. Most people know about BERT but do not understand what it specifically is. In short, the emergence of BERT has completely changed the relationship between pre-training to generate word vectors and downstream specific NLP tasks, proposing the concept of training word vectors at … Read more

Hardcore Introduction to NLP – Seq2Seq and Attention Mechanism

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Hardcore Introduction to NLP - Seq2Seq and Attention Mechanism

Click the top “MLNLP” to select the “Starred” public account. Heavyweight content delivered first-hand. From:Number Theory Legacy The prerequisite knowledge for this article includes:Recurrent Neural NetworksRNN, Word EmbeddingsWordEmbedding, Gated UnitsVanillaRNN/GRU/LSTM. 1 Seq2Seq Seq2Seq is the abbreviation for sequence to sequence. The first sequence is called the encoder encoder, which is used to receive the source … Read more

Understanding Attention Mechanism in Language Translation

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Understanding Attention Mechanism in Language Translation

Author丨Tianyu Su Zhihu Column丨Machines Don’t Learn Address丨https://zhuanlan.zhihu.com/p/27769286 In the previous column, we implemented a basic version of the Seq2Seq model. This model performs sorting of letters, taking an input sequence of letters and returning the sorted sequence. Through the implementation in the last article, we have gained an understanding of the Seq2Seq model, which mainly … Read more

Understanding Attention: Principles, Advantages, and Types

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Understanding Attention: Principles, Advantages, and Types

Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered first time! From | Zhihu Address | https://zhuanlan.zhihu.com/p/91839581 Author | Zhao Qiang Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article is for academic sharing only. If there is any infringement, please contact the backend for deletion. Attention is being … Read more