MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, with an audience that includes NLP master’s and PhD students, university professors, and corporate researchers. The community’s vision is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for … Read more
Click on the above “CVer“, select to add “Star” or “Top” Important content delivered instantly Author: zzq https://zhuanlan.zhihu.com/p/68411179 This article is authorized, and reprinting without permission is prohibited Introduction to Basic Components of CNN 1. Local Receptive Field In images, the connections between local pixels are relatively tight, while the connections between distant pixels are … Read more
From | Zhihu Author | zzq Address | https://zhuanlan.zhihu.com/p/68411179 This article is for communication purposes only. If there is any infringement, please contact for deletion. Introduction to Basic Components of CNN 1. Local Receptive Field In images, the connections between local pixels are relatively tight, while the connections between distant pixels are relatively weak. Therefore, … Read more
Introduction to Basic Components of CNN 1. Local Receptive Field In images, the connections between local pixels are relatively tight, while the connections between pixels that are far apart are weaker. Therefore, each neuron does not need to perceive the entire image globally; it only needs to perceive local information, which can then be combined … Read more
Click aboveComputer Vision Alliance to get more valuable content For academic sharing only, does not represent the position of this public account, contact for removal in case of infringement Reproduced from: Author丨zzq Source丨https://zhuanlan.zhihu.com/p/68411179 Editor丨Jishi Platform Recommended notes from 985 AI PhD Zhou Zhihua’s “Machine Learning” handwritten notes are officially open-source! Includes PDF download link, Github … Read more
Introduction “Plugins” are enhancements that can be easily integrated into existing systems, truly embodying the plug-and-play concept. The “plugins” discussed in this article can enhance the CNN’s ability to handle transformations like translation, rotation, and scale, as well as multi-scale feature extraction, and can be found in many SOTA networks. Pytorch training camp, master coding … Read more
Click the "AI Algorithms and Image Processing" above, select "Star" or "Pin" Heavy content, delivered first time Recommended Reading 31 Python practical projects teach you image processing, PDF open download opencv_contrib extension module Chinese tutorial PDF, limited time to receive Author丨Peter Pan Editor丨Extreme City Platform Introduction The so-called “plugin” is something that can enhance performance … Read more
↑ ClickBlue Text Follow the Extreme City Platform Author丨Peter Pan Editor丨Extreme City Platform Extreme City Guide So-called “plug-ins” should enhance the performance while being easy to integrate, truly achieving plug-and-play functionality. The “plug-ins” discussed in this article can enhance the CNN’s capabilities in translation, rotation, scaling, and multi-scale feature extraction, making their presence felt in … Read more
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
Author: Ye Hu Editor: Tian Xu Introduction Recently, deep CNN networks like ResNet and DenseNet have significantly improved the accuracy of image classification. However, in addition to accuracy, computational complexity is also an important metric for CNN networks. Overly complex networks may be very slow, and specific scenarios, such as autonomous driving, require low latency. … Read more