Artificial Neural Networks

Introducing PyTorch’s New Tool: MM for 3D Visualization of Matrix Multiplication and Transformer Attention

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Introducing PyTorch's New Tool: MM for 3D Visualization of Matrix Multiplication and Transformer Attention

Click belowCard, follow the “CVer” public account AI/CV heavy content delivered instantly Click to enter—>【Computer Vision and Transformer】Group Chat Reprinted from: New Intelligence | Edited by:Peach 【Guide】The latest 3D visualization tool “mm” launched by the PyTorch team can simulate the matrix multiplication of the real world. The simulated world in the matrix is really here. … Read more

Implement Handwritten Digit Recognition with PyTorch

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Implement Handwritten Digit Recognition with PyTorch

Hello everyone! I’m Dog Brother. Today, we are going to explore a super interesting project together: implementing handwritten digit recognition using PyTorch! This project will not only help us understand the basics of deep learning but also allow us to build a neural network model from scratch. I will guide you step by step in … Read more

Innovative Network Structures of Convolutional Neural Networks

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Innovative Network Structures of Convolutional Neural Networks

Follow the official account “ML_NLP“ Set as “Starred“, heavy content delivered first time! As a major part of deep learning, model architecture has always been a hot topic of research. Besides AutoML technology, what are some unconventional and innovative network architectures? 1 Author: Yan You San Source: https://www.zhihu.com/question/337470480/answer/766380855This article has been authorized for reprint by … Read more

Understanding Convolutional Neural Networks (CNN)

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Understanding Convolutional Neural Networks (CNN)

Brothers, today we are going to talk about a particularly “high-end” but actually very practical and interesting technology – Convolutional Neural Networks (CNN). Don’t be afraid, the name sounds quite intimidating, but actually, if we chat in plain language, you will find that, hey, this thing is not that difficult! First, we need to understand … Read more

Research on Electromagnetic Signal Recognition Based on CNN-Transformer Fusion Model

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Research on Electromagnetic Signal Recognition Based on CNN-Transformer Fusion Model

Abstract: With the rapid development of communication technology today, the electromagnetic space environment has become increasingly complex, and the types of signals in the electromagnetic space have also diversified. Faced with various interferences in the electromagnetic space, accurately and effectively distinguishing the types of electromagnetic signals has become more challenging. To address this issue, a … Read more

Explaining CNNs From the Frequency Domain Perspective

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Explaining CNNs From the Frequency Domain Perspective

↑ ClickBlue Text Follow the Jishi Platform This article is authorized by Zhihu Q&A, reprinting requires authorization from the original author. Editor丨Jishi Platform Jishi Guide How to think about and explain convolutional neural networks from the perspective of the frequency domain? This article整理了两则优质回答，希望能给大家带来启发。>> Join the Jishi CV technology exchange group and stay at the forefront … Read more

Building CNN Networks with Object-Oriented Programming | PyTorch Series

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Building CNN Networks with Object-Oriented Programming | PyTorch Series

Click the “Beginner’s Visual Learning” above to choose to add “Star” or “Pinned“. Important content delivered promptly. From a high-level perspective of our deep learning project, we have prepared the data, and now we are ready to build our model. Prepare Data Build Model Train Model Analyze Model Results When we talk about the model, … Read more

Explaining CNNs From the Frequency Domain Perspective

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Explaining CNNs From the Frequency Domain Perspective

Click on “Computer Vision Life” above, and select “Star” Quickly get the latest insights This article is compiled from Zhihu Q&A. If there is any infringement, please delete it. Editor丨Extreme City Platform Viewpoint 1 Author丨Ruo Yu I think the most enlightening work for me is by Xu Zhiqin from Shanghai Jiao Tong University. https://ins.sjtu.edu.cn/people/xuzhiqin/fprinciple/index.html His … Read more

Deep Dive Into VGGNet: A Classic CNN Architecture

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Deep Dive Into VGGNet: A Classic CNN Architecture

In 2014, the Visual Geometry Group at the University of Oxford and Google DeepMind developed a new convolutional neural network called VGGNet. VGGNet is a deeper deep convolutional neural network than AlexNet, and this model achieved second place in the 2014 ILSVRC competition, with GoogLeNet taking first place (which we will introduce later). Paper: Very … Read more

Bold and Innovative Neural Network Structures in CNN

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Bold and Innovative Neural Network Structures in CNN

Click the above “AI Youdao” and select “Star” public account Heavyweight content delivered immediately Editor: Yi Zhen https://www.zhihu.com/question/337470480 This article is for academic sharing only. If there is an infringement, it will be deleted. Reports on machine learning algorithms and natural language processing What Bold and Innovative Neural Network Structures Exist in Convolutional Neural Networks? … Read more