Article 576 1. Unique Advantages of Generative AI 1. 24/7 Companionship The greatest advantage of generative AI is its freedom from time and space limitations. Whether it’s a sudden question at 3 AM or a need in the quiet of night, AI can respond promptly, providing immediate learning support. This accessibility anytime and anywhere breaks … 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…
Follow the official account “ML_NLP“ Set as “Starred“, heavy content delivered first time! As a major part of deep learning, model architecture has always been a hot topic of research. Besides AutoML technology, what are some unconventional and innovative network architectures? 1 Author: Yan You San Source: https://www.zhihu.com/question/337470480/answer/766380855This article has been authorized for reprint by … Read more
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
Abstract: With the rapid development of communication technology today, the electromagnetic space environment has become increasingly complex, and the types of signals in the electromagnetic space have also diversified. Faced with various interferences in the electromagnetic space, accurately and effectively distinguishing the types of electromagnetic signals has become more challenging. To address this issue, a … Read more
Recently, researchers from Nanyang Technological University published a paper that describes the mathematical principles of convolutional networks. This paper explains the operations and propagation processes of convolutional networks from a mathematical perspective. It is very helpful for understanding the mathematical essence of convolutional networks and aids readers in implementing convolutional networks “from scratch” (without using … Read more
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
Click on “Computer Vision Life” above, and select “Star” Quickly get the latest insights This article is compiled from Zhihu Q&A. If there is any infringement, please delete it. Editor丨Extreme City Platform Viewpoint 1 Author丨Ruo Yu I think the most enlightening work for me is by Xu Zhiqin from Shanghai Jiao Tong University. https://ins.sjtu.edu.cn/people/xuzhiqin/fprinciple/index.html His … Read more
↑ ClickBlue Text Follow the Extreme Market Platform Author丨zzk Source丨GiantPandaCV Editor丨Extreme Market Platform Extreme Market Guide The network structure of this article is manually designed, mainly improving the multi-level division convolution of feature maps, concatenation, which enhances the network’s accuracy while also reducing inference time. It feels like a combination of res2net and ghostnet, and … Read more
Editor | Fish Da Reprinted from | Champion’s Trial Blog Total words:21041 Images:18 Estimated reading time: 53 minutes Convolutional Neural Networks (CNNs) have become a prominent framework in the field of deep learning, especially excelling in computer vision. Starting from LeNet in the 1990s, CNNs went through a decade of silence until AlexNet revived them … Read more