Attention Mechanism

Implementing Attention Mechanism for Caption Generation Using TensorFlow on Transformers

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Implementing Attention Mechanism for Caption Generation Using TensorFlow on Transformers

Overview Understand the state-of-the-art transformer models. Learn how we implement transformers for the image captioning problem we have seen using TensorFlow. Compare the results of transformers with attention models. Introduction We have seen that the attention mechanism has become a compelling component of various tasks (such as image captioning) in sequence modeling and transduction models, … Read more

New PyTorch API: Implementing Various Attention Variants with FlashAttention Performance

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New PyTorch API: Implementing Various Attention Variants with FlashAttention Performance

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning both domestically and internationally, especially for … Read more

New PyTorch API: Implementing Different Attention Variants with Just a Few Lines of Code!

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New PyTorch API: Implementing Different Attention Variants with Just a Few Lines of Code!

Click on the above“Beginner’s Guide to Vision” to choose to addto favorites or “pin” Important information delivered promptly Reprinted from: Machine Heart | Edited by: Chen Chen Try a new attention pattern with FlexAttention. In theory, the attention mechanism is everything you need. However, in practice, we also need to optimize implementations of attention mechanisms … Read more

An Overview of Multi-Modal Summarization

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An Overview of Multi-Modal Summarization

MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP master’s and Ph.D. students, university professors, and researchers in enterprises. The vision of the community is to promote communication between the academic and industrial communities of natural language processing and machine … Read more

Comprehensive Guide to Attention Mechanisms in CNN: From Theory to PyTorch Implementation

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Comprehensive Guide to Attention Mechanisms in CNN: From Theory to PyTorch Implementation

About 3400 words, recommended reading time: 10+ minutes This article will comprehensively introduce the attention mechanism in CNNs, from basic concepts to practical implementations, providing readers with in-depth understanding and practical guidance. The attention mechanism has become an indispensable component of deep learning models, especially in Convolutional Neural Networks (CNNs). By enabling models to selectively … Read more

Prediction of Protein-Ligand Binding Affinity Based on LSTM and Attention Mechanism

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Prediction of Protein-Ligand Binding Affinity Based on LSTM and Attention Mechanism

Prediction of Protein-Ligand Binding Affinity Based on LSTM and Attention Mechanism Wang Wei1,2*, Wu Shiyu1, Liu Dong1,2, Liang Huiru1, Shi Jinling3, Zhou Yun1,2, Zhang Hongjun4, Wang Xianfang5 (1 Henan Normal University, School of Computer and Information Engineering, Xinxiang, Henan 453007; 2 Henan Province Education Artificial Intelligence and Personalized Learning Key Laboratory, Xinxiang, Henan 453007; 3 … Read more

Research on LSTM Water Level Prediction Model Based on Improved Attention Mechanism

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Research on LSTM Water Level Prediction Model Based on Improved Attention Mechanism

Research on LSTM Water Level Prediction Model Based on Improved Attention Mechanism Ma Fei 1, Tu Zhenyu 1*, Zhu Songting 2, Xiang Xinyue 1, Sun Yifei 1, Fang Qiang 1 (1. School of Information Engineering, Nanchang Engineering College, Nanchang, Jiangxi, 330099; 2. Jiangxi Flood Control Information Center, Nanchang, Jiangxi, 330009) Abstract In order to further … Read more

Research on LSTM Model for River Dissolved Oxygen Prediction Optimized by Attention Mechanism

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Research on LSTM Model for River Dissolved Oxygen Prediction Optimized by Attention Mechanism

Research on LSTM Model for River Dissolved Oxygen Prediction Optimized by Attention Mechanism Zhou Quan1, Hu Xuanming2, Wang Dongkun2, Zhang Wucai1, Chen Zhongying1, Wang Jinpeng1, Wang Pengyang2, Ren Xiuwen1 1. South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Key Laboratory of Water Environment Simulation and Pollution Control, Guangzhou, Guangdong 5105302. University of … Read more

Time Series Prediction Method Based on LSTM and Attention Mechanism

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Time Series Prediction Method Based on LSTM and Attention Mechanism

6 Tuesday July 2021 Testing “Gold” Room Time series refers to a sequence formed by arranging the values of the same statistical indicator in chronological order. Its essence is the trend of one or more random variables changing over time. The core of time series prediction methods is to mine such patterns from the data[1].Time … Read more

Research on LSTM River Dissolved Oxygen Prediction Model Optimized by Attention Mechanism

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Research on LSTM River Dissolved Oxygen Prediction Model Optimized by Attention Mechanism

Click the blue words to follow us Research on theLSTM River Dissolved Oxygen Prediction Model Optimized by Attention Mechanism Zhou Quan1,2, Hu Xuanming3, Wang Dongkun3, Zhang Wucai1,2, Chen Zhongying1,2, Wang Jinpeng1,2, Wang Pengyang3*, Ren Xiuwen1,2* 1. South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, Guangdong 510530 2. Key Laboratory of Water … Read more