Source: Harbin Institute of Technology SCIR This article is approximately 9300 words long and is recommended for a reading time of 10+ minutes. This article will discuss the interpretability of the attention mechanism. Introduction Since Bahdanau introduced Attention as soft alignment in neural machine translation in 2014, a large number of natural language processing works … Read more
↑ ClickBlue Text Follow the Jishi Platform Author丨pprp Source丨GiantPandaCV Editor丨Jishi Platform Jishi Guide The CBAM module has gained a lot of applications due to its widespread use and ease of integration. Currently, the Attention mechanism in the CV field is also very popular in papers published in 2019. Although this CBAM was proposed in 2018, … Read more
In recent years, research in deep learning has become increasingly in-depth, achieving many groundbreaking advances in various fields. Neural networks based on the attention mechanism have become a hot topic in recent neural network research. I have also recently studied some papers on neural networks based on the attention mechanism in the field of Natural … 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
Click the “MLNLP” above to select the “Star” public account. Heavyweight content delivered to you first. From | Zhihu Author | Lucas Address | https://zhuanlan.zhihu.com/p/88376673 Column | Deep Learning and Sentiment Analysis Editor | Machine Learning Algorithms and Natural Language Processing Understanding Attention: The Attention Mechanism and Its PyTorch Implementation Biomimetic Brain Attention Model -> … Read more
Original Author: Adam Kosiorek Annie, Translated from GitHub QbitAI | WeChat Official Account QbitAI The attention mechanism in neural networks has garnered significant attention. In this article, I will attempt to find commonalities and use cases of different mechanisms, explaining the principles and implementations of two types of soft visual attention. What is Attention? In … Read more
Compiled by Li Lin, Produced by QbitAI | WeChat Official Account QbitAI From the various image recognition software we have seen, machines seem to recognize faces, cats, dogs, flowers, various cars, and other objects that appear in daily life. However, there is a prerequisite: you need to train the system with images of these categories. … Read more
Reported by Xinzhi Yuan Editor: QJP [Xinzhi Yuan Guide] One of the biggest challenges in using machine learning (ML) algorithms (especially modern deep learning) for image recognition is the difficulty in understanding why a particular input image produces the predicted result. We have integrated visual interfaces for the state-of-the-art image interpretation techniques over the past … Read more
Selected from arXiv Authors: Anuroop Sriram et al. Translated by Machine Heart Contributors: Li Yazhou, Li Zenan Baidu recently published a paper proposing the use of Generative Adversarial Networks (GAN) to achieve a robust speech recognition system. The authors state that the new framework does not rely on the domain-specific knowledge or simplified assumptions often … Read more
Author：Deephub Imba This article is approximately 2800 words, recommended reading time 5minutes This article introduces how the diffusion model works. The rise of diffusion models can be seen as a major factor in the recent breakthroughs in the field of AI-generated art. The development of the stable diffusion model allows us to easily create wonderful … Read more