This article is an original piece from the WeChat public account “Dahua Imaging” and the Zhihu column “All In Camera”. Please cite the source for reproduction. Join the Dahua Imaging Reader QQ Group 2: 833282006. Dahua Imaging Technology Forum: ww.dahuachengxiang.com. Please add zxzombie to the WeChat group first. New teaching videos on “Image Sensor Technology … Read more
This article is a translated note of the Stanford University CS231N course, authorized for translation and publication by Professor Andrej Karpathy of Stanford University. This is a work from Big Data Digest, unauthorized reproduction is prohibited; specific requirements for reproduction can be found at the end of the article. Translation: Han Xiaoyang & Long Xincheng … Read more
Click below on thecard to follow the “Beginner’s Guide to Python” public account Let’s discuss some techniques that help you conduct experiments during the training process. I will provide some theory, code snippets, and complete workflow examples. The main points include: Dataset Splitting Metrics Reproducibility Configuration, Logging, and Visualization Dataset Splitting I prefer a split … 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
↑ 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
In 2014, the Visual Geometry Group at the University of Oxford and Google DeepMind developed a new convolutional neural network called VGGNet. VGGNet is a deeper deep convolutional neural network than AlexNet, and this model achieved second place in the 2014 ILSVRC competition, with GoogLeNet taking first place (which we will introduce later). Paper: Very … Read more
Click the above “AI Youdao” and select “Star” public account Heavyweight content delivered immediately Editor: Yi Zhen https://www.zhihu.com/question/337470480 This article is for academic sharing only. If there is an infringement, it will be deleted. Reports on machine learning algorithms and natural language processing What Bold and Innovative Neural Network Structures Exist in Convolutional Neural Networks? … Read more
The hands-on deep learning live course has completed the first three parts! In the past 4 months, Dr. Mu Li, a senior chief scientist at Amazon has explained the basics of deep learning, convolutional neural networks, and computer vision. Since the course started, over 10,000 people have participated in the live learning, and the course … Read more
In the field of deep learning, there are many specialized terms that can be quite overwhelming at first glance. However, as we delve deeper, we gradually start to understand them, albeit feeling like something is still missing. Today, we will discuss a specialized term called Attention mechanism! 1. Intuitive Understanding of Attention Imagine a scenario … Read more