Source: Mathematics China This article is about 2200 words long and suggests a reading time of 9 minutes. When there is an appropriate neural network architecture and a sufficiently large dataset, deep learning networks can learn any mapping from one vector space to another. According to reports, the use of deep learning has rapidly increased … Read more
Click the above“Beginner Learning Vision“, choose to add “Starred” or “Pinned“ Important content delivered in real time Overview In deep learning, CNN networks are core components. For CNN networks, the calculations of convolutional layers and pooling layers are crucial. Different strides, padding methods, kernel sizes, and pooling strategies can significantly impact the final output model, … Read more
1. Introduction The neural network algorithm is an important branch of artificial intelligence. It constructs models that can learn and adapt by simulating the connection patterns of neurons in the human brain. In many application scenarios, neural network algorithms have demonstrated powerful performance and potential. However, building an excellent neural network model is not an … Read more
This article will explain what problems CNN solves,the principles of human vision,the basic principles of CNN,The typical CNN and its practical applications in four aspects, helping you to understand Convolutional Neural Networks (CNN) in one article. 1.What Problems CNN Solves There are two major challenges in image processing: Huge Data Volume: Images are composed of … Read more
Tong Ling from A Fei Temple Quantum Bit Production | WeChat Official Account QbitAI PhD student Nathan Hubens from Télécom SudParis encountered some difficulties while training a CNN. During experiments using the VGG16 model trained on the CIFAR10 dataset, he performed 50 iterations and found that the model did not learn anything. It can be … Read more
Welcome to follow and receive learning materials. After selecting from the public account, you can receive daily updates. Plot In episode 7 of Qing Yu Nian 2, aside from the queen, there is a question of “who exactly is this woman in the painting”. Fan Xian also discovers the faceless woman in the prince’s painting, … Read more
Xiao Xiao Yu Yang from Aofeisi Reported | Quantum Bit When it comes to computer vision, CNN is indispensable. But what do convolution, pooling, and Softmax actually look like, and how are they interconnected? Imagining it from code can be a bit chilling. So, someone simply used Unity to create a complete 3D visualization. It’s … Read more
Click on the above “Beginner Learning Vision” to select “Star Mark” or “Top“ Important content delivered immediately 01 Paper Overview Paper Title: “How much Position Information Do Convolutional Neural Networks Encode? “ Paper Link: https://openreview.net/forum?id=rJeB36NKvB This article explains how CNNs learn the absolute position information within images. The article comes from Canadian scholars and is … Read more
Click on the above“Learn Visuals” to selectStar or “Top” Heavyweight content, delivered first Background Introduction In common convolutional neural networks, sampling is almost everywhere, previously max pooling, now strided convolution. Taking the VGG network as an example, it uses quite a bit of max pooling. The input side is on the left (the bottom has … Read more
Author: zzq https://zhuanlan.zhihu.com/p/68411179 This article is authorized, and unauthorized reproduction is not allowed. 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 weaker. Therefore, each neuron does not need to perceive the entire image globally; it only … Read more