Using machine learning for investment has always been a popular subject. In recent years, deep learning models have attracted a lot of attention, especially in the field of computer vision. Therefore, the paper introduced here provides a brand new approach by using the currently hottest computer vision neural network: Convolutional Neural Network (CNN) to predict … Read more
Click on the above “Beginner’s Guide to Vision“, choose to add “Star Mark” or “Pinned“ Important insights delivered promptly For academic sharing only, does not represent the stance of this public account. Contact us for removal in case of infringement. Reprinted from: This article is compiled from Zhihu Q&A. Infringement will be removed. Editor丨Jishi Platform … Read more
Click the above “Beginner Learning Vision“, choose to add “Starred” or “Pinned“ Heavyweight content delivered at the first time Convolutional Neural Networks (CNNs) have achieved unprecedented success in the field of computer vision, but we currently do not have a comprehensive understanding of the reasons for their remarkable effectiveness. In March 2018, Isma Hadji and … Read more
The Beauty of Mathematical Algorithms Date：August 28, 2019 Word Count：2400words, 11images Estimated Reading Time：7minutes Source：Machine Heart This article is selected from Medium, mainly introducing convolutional neural networks in neural networks, suitable for beginners to read. Overview Deep learning and artificial intelligence were buzzwords in 2016; in 2017, these two terms became even more popular, but … Read more
Source: Artificial Intelligence AI Technology This article is about 2500 words long and is recommended for a 9-minute read. This article organizes the development history of CNN network structures. Author丨zzq Source丨https://zhuanlan.zhihu.com/p/68411179 Introduction to Basic Components of CNN 1. Local Receptive Field In images, the connections between local pixels are relatively tight, while the connections between … Read more
Source: Machine Heart This article is about 2400 words, recommended reading time 5minutes Researchers from Vrije Universiteit Amsterdam, University of Amsterdam, and Stanford University proposed CCNN. In VGG, U-Net, TCN networks… CNNs are powerful, but they must be customized for specific problems, data types, lengths, and resolutions to perform effectively. One may wonder, can a … Read more
This article shares an analysis of the mathematical principles of CNNs, which will help you deepen your understanding of how neural networks work in CNNs. As a recommendation, this article will include quite complex mathematical equations; if you are not familiar with linear algebra and calculus, that’s okay. The goal is not to memorize these … Read more
Hello everyone, today we will talk about CNN. In simple terms, Convolutional Neural Networks (CNNs) are deep learning models particularly suited for processing image data. CNN consists of multiple layers of neural networks, each performing specific processing on the input data, ultimately outputting a classification result or other objectives. Imagine you are looking at an … Read more
Source: Deep Learning Enthusiasts This article is about 3000 words long and is recommended to be read in 10 minutes. This article introduces the basic components of CNN and classic network structures. The full name of CNN is “Convolutional Neural Network”. A neural network is a mathematical model or computational model that mimics the structure … Read more
Convolutional Neural Networks are a type of feedforward neural network that includes convolutional operations and has a deep structure, representing one of the key algorithms in 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 packed with … Read more