Click the "Beginner's Visual Learning" above, select "Star" or "Top" Heavy content delivered to you first Researchers proposed the concept of CNN (Convolutional Neural Networks) while studying image processing algorithms. Traditional fully connected networks are a black box – they take all inputs and pass each value through a dense network, then to a hot … Read more
Original Content, First Publication, No Reprints In the previous article “Convolution Operation and Its Applications in Image Processing”, we detailed the important role of convolution operations in image processing. Today, I will introduce the Convolutional Neural Network, which is the most widely used in neural networks. 01 Concept and Components of CNN A Convolutional Neural … Read more
Source: Xiao Bai Learns Vision This article is about 4500 words long and suggests reading for more than 10 minutes. It illustrates the entire architecture of neural networks and tools and techniques for understanding specific modules. Baseline Model AlexNet is a groundbreaking architecture that has made convolutional networks (CNN) the primary machine learning algorithm for … Read more
In recent years, the enthusiasm for research on Graph Neural Networks (GNNs) in the field of deep learning has been growing steadily, making GNN a hot research topic at major deep learning conferences. The remarkable ability of GNNs to handle unstructured data has led to breakthroughs in network data analysis, recommendation systems, physical modeling, natural … Read more
Source: Deep Learning Beginner This article is about 2400 words, and it is recommended to read in 5 minutes. This article summarizes some common knowledge about Convolutional Neural Networks. 0 Introduction In the past few days, I have watched some videos and blogs about Convolutional Neural Networks. I have organized the knowledge and content that … Read more
Click on the above“Beginner Learning Vision” to select and addStarred or “Top” Important content delivered in real-time Author | SANYA4 Translator | VK Source | Analytics Vidhya Introduction Neural networks are everywhere today. Major companies are spending heavily on hardware and talent to ensure they can build the most complex neural networks and deliver the … Read more
Today, artificial intelligence (AI) is rapidly developing, increasingly supporting applications that were previously impossible or very difficult to achieve, with neural networks being the cornerstone of deep learning systems. There are many types of neural networks, and this article will only discuss Convolutional Neural Networks (CNN). What is CNN? A neural network is a system … Read more
Source | OSCHINA Community Author | OneFlow Deep Learning Framework Original link: https://my.oschina.net/oneflow/blog/5559651 So far, one major concern about neural networks is that they are difficult to interpret black boxes. This article primarily aims to theoretically understand why neural networks perform so well in pattern recognition and classification, fundamentally distorting and transforming the original input … Read more
Many tasks involving intelligence, pattern recognition, and object detection are extremely difficult to automate, yet animals and humans seem to perform them effortlessly and naturally. For example, how does a pet dog recognize its owner rather than a complete stranger? How does a child learn to distinguish between a school bus and a public bus? … Read more
0 Introduction In the past few days, I have watched several videos and read blog posts about convolutional neural networks. I have organized the knowledge and content that I found useful, clarified the logic, and wrote it down here for future reference, so I can easily revisit it without losing it. 1 Convolutional Neural Networks … Read more