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
↑ 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
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
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
Join the professional CV group of Jishi, interact with 6000+ visual developers from top companies and universities such as Tencent, Huawei, Baidu, Peking University, Tsinghua University, and the Chinese Academy of Sciences! There is also an opportunity to interact with Professor Kai-Fu Lee and other experts! We also provide monthly expert live sharing, real project … Read more
Click on the above “AI Youdao“, select “Star” public account Heavyweight content delivered first time Author | Raimi Karim Translator | Major Editor | Zhao Xue Produced by | AI Technology Camp (ID: rgznai100) Introduction: In recent years, many Convolutional Neural Networks (CNN) have come into the spotlight, and as their depths become increasingly profound, … Read more
Click Machine Learning Algorithms and Python Learning ，Select Star Don’t miss out on the wonderful content Author | Raimi Karim, Produced by | AI Technology Camp (ID: rgznai100) This article carefully selects 10 detailed diagrams of CNN architectures for discussion. Curated by the author. These diagrams showcase the essence of the entire model without the … Read more
100 Questions on Deep Learning Author: louwill Machine Learning Lab The MobileNet series, as a representative of lightweight networks, makes the lightweight deployment of CNNs on mobile devices possible. Currently, there are three versions of MobileNet: MobileNet v1, MobileNet v2, and MobileNet v3. This article focuses on elaborating the MobileNet series networks, which is essential … Read more
01 Introduction This article reviews some of the more ingeniously designed and practical “plugins” used in CNN networks. The so-called “plugins” are modules that do not alter the main structure of the network and can be easily integrated into mainstream networks to enhance their feature extraction capabilities, achieving a plug-and-play functionality. Many similar reviews claim … Read more