This article will explain what problems CNN solves,the principles of human vision,the basic principles of CNN,The typical CNN and its practical applications in four aspects, helping you to understand Convolutional Neural Networks (CNN) in one article. 1.What Problems CNN Solves There are two major challenges in image processing: Huge Data Volume: Images are composed of … Read more
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
Click on the above “Beginner Learning Vision”, choose to add Star or “Top” Essential insights delivered at the first moment Contents: 1. Concept of Convolutional Neural Networks 2. Characteristics of Convolutional Neural Networks 2.1 Local Region Connections 2.2 Weight Sharing 2.3 Downsampling 3. Structure of Convolutional Neural Networks 3.1 Convolutional Layer 3.2 Pooling Layer 4. … Read more
Click on the above“Learning Visuals for Beginners” to choose to addStar Mark or “Pin to Top” Important content delivered immediately The convolutional neural network is a deep network structure mainly composed of convolutional layers. The network structure includes convolutional layers, activation layers, BN layers, pooling layers, FC layers, loss layers, etc. The convolution operation is … Read more
2020 “High Download Papers in Chinese and English” Special Series In 2020, the “Journal of China Nonferrous Metals” published a total of 608 papers in both Chinese and English, some of which have shown significant influence. According to the China National Knowledge Infrastructure download data (as of March 3, 2021), the highest single paper download … Read more
[Image] Convolutional Neural Networks (CNN), one of the classic forms of deep learning neural networks, is named for its computation process that includes convolution operations. CNNs extract local features from image data using convolutional layers, followed by pooling layers (Pooling Lay…
Convolutional Neural Networks (CNN) are a type of feedforward neural network that includes convolutional computations and has a deep structure. They are one of the representative algorithms of deep learning. This article aims to introduce the basic concepts and structures of CNN, as well as the fundamental ideas behind CNN architecture design. This article is … Read more
Selected from Medium Author: Harsh Pokharna Translated by: Machine Heart Contributors: Duxiade This is one of the articles in the author’s series on neural networks introduced on Medium, where he provides a detailed explanation of convolutional neural networks. Convolutional neural networks have wide applications in image recognition, video recognition, recommendation systems, and natural language processing. … Read more