Click on the above “Beginner Learning Vision”, choose to add Star or “Top” Essential insights delivered at the first moment Contents: 1. Concept of Convolutional Neural Networks 2. Characteristics of Convolutional Neural Networks 2.1 Local Region Connections 2.2 Weight Sharing 2.3 Downsampling 3. Structure of Convolutional Neural Networks 3.1 Convolutional Layer 3.2 Pooling Layer 4. … Read more
0 Introduction Over the past few days, I have been watching some videos and reading blog posts about Convolutional Neural Networks (CNNs). I have organized the useful knowledge and content that I found helpful here, to clarify the logic and deepen my understanding. I can easily refer back to this in the future, ensuring it … Read more
Click on "Xiaobai Learns Vision" above, choose to add "Star" or "Top" Heavy content delivered at the first time Author: Piotr Skalski Source: AI Youdao @ WeChat Official Account Translation: Tongye (Sun Yat-sen University), had_in (University of Electronic Science and Technology) Introduction This article adopts an image presentation approach to help everyone understand the related … Read more
Source: Machine Vision Knowledge Recommender This article is approximately 11,000 words long and is recommended for a reading time of 10+ minutes. This article will introduce deep learning technology, neural networks, convolutional neural networks, and their applications in related fields. In today’s internet era, the intricate big data and network environment pose significant challenges to … Read more
Click the above“Beginner Learn Vision”, choose to addStar or “Top” Important content delivered in real-time The first convolutional neural network was proposed by Alexander Waibel in 1987, known as the Time Delay Neural Network (TDNN) [5]. TDNN is a convolutional neural network applied to speech recognition problems. It uses FFT to preprocess speech signals as … Read more
Source: Machine Learning Algorithms This article is about 5000 words long, and it is recommended to read in 8 minutes This article summarizes some basic concepts about Convolutional Neural Networks (CNN). Introduction This article summarizes some basic concepts about Convolutional Neural Networks (CNN) and provides detailed explanations of the principles involved. Through this article, one … Read more
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: 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
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