BLSTM

Quantitative Assessment of VR Cybersickness Using EEG Signals

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Quantitative Assessment of VR Cybersickness Using EEG Signals

Recently, the research team proposed a method for assessing the severity of VR cybersickness using electroencephalogram (EEG) signals, published in “Displays”. This study, titled “Exploring quantitative assessment of cybersickness in virtual reality using EEG signals and a CNN-ECA-LSTM network”, induces various degrees of cybersickness through visual stimulation paradigms and collects corresponding EEG data. It extracts … Read more

Future Frame Prediction in 2D Movie MR Images Using PCA and RNN

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Future Frame Prediction in 2D Movie MR Images Using PCA and RNN

✅Author Bio: A Matlab simulation developer passionate about research, skilled in data processing, modeling simulation, program design, complete code acquisition, paper reproduction, and scientific simulation. 🍎Personal Homepage:Matlab Research Studio 🍊Personal Motto: Seek knowledge through inquiry; feel free to message me for help. 🔥 Content Introduction Abstract: Respiratory motion in medical imaging is a critical factor … Read more

RNN Transformation Mechanism and Practical Applications

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RNN Transformation Mechanism and Practical Applications

Follow Hui Kuo Technology to learn more about technology knowledge Hello everyone, I am Liu Zenghui! Today we will continue the series of lectures on artificial intelligence neural networks, focusing on the transformation mechanism and practical applications of RNNs, exploring how they are widely used in various fields! Transformation Mechanism of RNN In the previous … Read more

Do RNN and LSTM Have Long-Term Memory?

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Do RNN and LSTM Have Long-Term Memory?

This article introduces the ICML 2020 paper “Do RNN and LSTM have Long Memory?“. The authors of the paper are from Huawei Noah’s Ark Lab and the University of Hong Kong.. Author | Noah’s Ark Lab Editor | Cong Mo Paper link: https://arxiv.org/abs/2006.03860 1 Introduction To overcome the difficulties of Recurrent Neural Networks (RNNs) in … Read more

When RNN Meets NER: Bi-LSTM, CRF, and Stack LSTM

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When RNN Meets NER: Bi-LSTM, CRF, and Stack LSTM

Author: David9 Address: http://nooverfit.com/ Named Entity Recognition (NER) is an important topic in semantic understanding. NER is like object detection in the field of natural language. Finding noun entities in document D is not enough; in many cases, we need to understand whether this noun represents a location, person, or organization, etc.: The above figure … Read more

Implementing RNN and LSTM with Pure NumPy

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Implementing RNN and LSTM with Pure NumPy

Machine Heart Report Contributor: Siyuan With the popularity of frameworks like TensorFlow and PyTorch, building neural networks often just involves calling a few API lines. Most developers have become unfamiliar with the underlying mechanisms, especially how to implement neural networks using pure NumPy. Previously, Machine Heart introduced how to implement a simple convolutional neural network … Read more

Animated RNN, LSTM, and GRU Computation Process

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Animated RNN, LSTM, and GRU Computation Process

Source | Zhihu Author | JerryFly Link | https://zhuanlan.zhihu.com/p/115823190 Editor | Deep Learning Matters WeChat Official Account This article is for academic exchange only. If there is any infringement, please contact us for deletion. RNN is commonly used to handle sequential problems. This article demonstrates the computation process of RNN using animated graphics. The three … Read more

Understanding Attention Mechanism and Its Implementation in PyTorch

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Understanding Attention Mechanism and Its Implementation in PyTorch

Biomimetic Brain Attention Model -> Resource Allocation The deep learning attention mechanism is a biomimetic of the human visual attention mechanism, essentially a resource allocation mechanism. The physiological principle is that human visual attention can receive high-resolution information from a specific area in an image while perceiving its surrounding areas at a lower resolution, and … Read more

Understanding Attention Mechanism and Its Implementation in PyTorch

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Understanding Attention Mechanism and Its Implementation in PyTorch

From | Zhihu Author | Lucas Address | https://zhuanlan.zhihu.com/p/88376673 Column | Deep Learning and Emotion Computing Editor | Machine Learning Algorithms and Natural Language Processing Understanding Attention: Attention Mechanism and Its PyTorch Implementation Bionic Brain Attention Model -> Resource Allocation The deep learning attention mechanism is a bionic representation of the human visual attention mechanism, … Read more

A Simple Overview of Attention Mechanism

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A Simple Overview of Attention Mechanism

Click the “AI Park” above, follow the public account, and choose to add “Star” or “Top”. Author: Synced Compiled by: ronghuaiyang Introduction The attention mechanism is neither mysterious nor complex. It is simply an interface composed of parameters and mathematics. You can insert it anywhere appropriate, and it may enhance the results. What is Attention? … Read more