Analyzing AlexNet: General Structure of CNN

Analyzing AlexNet: General Structure of CNN

Author: Zhang Xu Editor: Wang Shuwei This article has 4794 words and 27 images, reading time is about 11 minutes Forget it Read as long as you want Zero Reference Directory: 1. Convolutional Layer 1.1 The Role of Convolutional Layer in CNN 1.2 How Convolutional Layers Work 1.3 Convolutional Layers in AlexNet 2. Pooling and … Read more

Quantitative Assessment of VR Cybersickness Using EEG Signals

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

MTF-CNN-Attention Fault Recognition Program

MTF-CNN-Attention Fault Recognition Program

Applicable Platform: Matlab 2023 and above This program references the ChineseEIJournal“Power Grid Technology” online publication, literature: “Classification Method of Power Quality Disturbances Based on Markov Transition Field and Multi-Head Attention Mechanism“. The program is well-commented and full of valuable content. Below is a brief introduction to the article and the program! Innovations in the Literature:The … Read more

Understanding DenseNet: A Classic CNN Model with PyTorch Implementation

Understanding DenseNet: A Classic CNN Model with PyTorch Implementation

A beginner in CV, I write this article to help other novices like me understand how to easily learn and allow experts to reinforce their basics (manual dog head), feel free to leave any questions in the comment section for discussion~ 1. Overview Paper: Densely Connected Convolutional NetworksPaper link: https://arxiv.org/pdf/1608.06993.pdf As the Best Paper at … Read more

Exploring 1D CNN for Kaggle Competitions

Exploring 1D CNN for Kaggle Competitions

↑↑↑ Follow after Star ”Alchemy Notes Alchemy Notes Author: Jie Shao, Guest of Alchemy Notes 1DCNN Introduction Recently, many data competitions on Kaggle have featured the 1DCNN model. After reviewing related competitions, I found the concept of 1DCNN to be quite interesting. The basic idea is: First, we map the original features to a high-dimensional … Read more