In the process of constructing the detailed model structure of the twin neural network, we first create a shared convolutional network. We have already understood the convolutional layer, pooling layer, and fully connected layer. First, please understand the following concepts: Convolutional Layer Pooling Layer Convolutional Layer Fully Connected Layer Shared Convolutional Layer Euclidean Distance Let’s … Read more
Excerpt from THE ASIMOV INSTITUTE Author: FJODOR VAN VEEN Translation by Machine Heart Contributors: Huang Xiaotian, Li Yazhou In September 2016, Fjodor Van Veen wrote an article titled “The Neural Network Zoo” (see the illustrated overview of neural network architectures: from basic principles to derivatives), which comprehensively reviewed a multitude of frameworks for neural networks … 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: 36 Big Data This article is 8000 words long and is recommended to be read in 12 minutes. This article organizes and introduces neural network architectures for you. As new neural network architectures emerge constantly, it is quite challenging to document all neural networks. Understanding all the networks represented by these abbreviations (DCIGN, IiLSTM, … Read more
In recent years, artificial intelligence technology has developed rapidly, and deep learning technology has also advanced quickly with the improvement of computing power. At the same time, object detection is a fundamental problem in the fields of machine vision and artificial intelligence, with the main goal of accurately locating various object categories and position bounding … Read more
Researchers from the South China University of Technology have 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.This paper is very helpful for understanding the mathematical essence of convolutional networks and assists readers in implementing convolutional networks “by … 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
Selected from arXiv Translated by Machine Heart Contributors: Huang Xiaotian, Lu Xue, Jiang Siyuan Recently, researchers from Nanyang Technological University published a paper describing the mathematical principles of convolutional networks. This paper explains the entire operation and propagation process of convolutional networks from a mathematical perspective. It is very helpful for understanding the mathematical essence … Read more
Introduction to Basic Components of CNN 1. Local Receptive Field In images, the connections between local pixels are relatively tight, while the connections between pixels that are far apart are weaker. Therefore, each neuron does not need to perceive the entire image globally; it only needs to perceive local information, which can then be combined … Read more