Convolutional Neural Network

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

Overview of Convolutional Neural Networks (CNN)

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Overview of Convolutional Neural Networks (CNN)

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

Composition and Explanation of Convolutional Neural Network Structure

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Composition and Explanation of Convolutional Neural Network Structure

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

Image Recognition Method for Wolframite Based on Deep Learning

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Image Recognition Method for Wolframite Based on Deep Learning

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

Understanding Convolutional Neural Networks in Machine Learning

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Understanding Convolutional Neural Networks in Machine Learning

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

In-Depth Explanation of Convolutional Neural Networks

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In-Depth Explanation of Convolutional Neural Networks

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