Deep Learning

Useful Learning Software – MATLAB

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Useful Learning Software - MATLAB

EngineeringNewMediaTechnology AlwaysUnderstandYouBest Introduction MATLAB is a comprehensive mathematical computation software that holds significant importance in mathematical analysis, digital image processing, and engineering science, providing comprehensive simulation solutions for engineering and digital applications. It has now been applied in various fields. It has become one of the essential software for many university students, and now I … Read more

MATLAB Data Analysis, Image Processing, and Machine Learning Training

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MATLAB is an interactive programming software developed by MathWorks in the USA, used for scientific computing and engineering simulation. It integrates a wide range of powerful functions, including symbolic computation, numerical analysis, matrix computation, scientific data visualization, data processing, machine learning, image processing, signal processing, computational finance, computational biology, and modeling and simulation of nonlinear … Read more

Overview of Automatic Anomaly Detection Methods in Industrial Control Systems

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Overview of Automatic Anomaly Detection Methods in Industrial Control Systems

Traditional industrial control systems differ from the open systems of the Internet, being individual and closed. However, with the application of industrial internet platforms, more and more devices are connected to enterprise networks, leading to an increasing number of cybersecurity issues. Traditional methods based on network traffic have encountered difficulties in anomaly detection, challenges in … Read more

CVPR 2024 Tutorial: Practical Methods for Developing and Deploying Optimized Edge AI Models

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CVPR 2024 Tutorial: Practical Methods for Developing and Deploying Optimized Edge AI Models

Source: ZHUAN ZHI This article is approximately 1200 words long and is recommended for a 5-minute read. The tutorial on "Edge Artificial Intelligence" from the IT University of Copenhagen is worth noting! From June 17 to 21, 2024, one of the top events in the field of computer vision, the International Conference on Computer Vision … Read more

Edge Computing: Key Issues and Future Challenges

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Edge Computing: Key Issues and Future Challenges

1. Background Introduction With the rapid development of mobile communication technology and intelligent applications, the number of mobile devices and network data traffic has grown exponentially, placing a huge burden on the network and posing significant challenges in meeting user demands. Edge caching technology utilizes edge nodes to bring computing and storage resources closer to … Read more

Comprehensive Python Beginner’s Guide: From Zero to Proficiency

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Comprehensive Python Beginner's Guide: From Zero to Proficiency

Follow 👆 the public account, reply "python" to receive the beginner's tutorial! Source from the internet, will delete if infringed. 1. Introduction to Python 1. Why Learn Python? [Details on how to receive at the end of the article!!] [Details on how to receive at the end of the article!!] Before learning Python, don’t worry … Read more

Ultimate Python Beginner’s Guide (Most Detailed)

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Ultimate Python Beginner's Guide (Most Detailed)

Follow 👆 the public account, reply with 'python' to get the zero-based tutorial! Source from the internet, please delete if infringing. 1. Introduction to Python 1. Why Learn Python? [Details on how to obtain are at the end of the article!!] [Details on how to obtain are at the end of the article!!] Before learning … Read more

Next Generation Ubiquitous Wireless Sensing Inspired by Deep Learning

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Next Generation Ubiquitous Wireless Sensing Inspired by Deep Learning

One Background Introduction Human perception of the physical world has evolved from subjective feelings to sensors and then to sensor networks, as shown in Figure 1. As sensors become smaller and data collection becomes more widespread, a prominent issue has also emerged: the high deployment cost of sensing systems. Especially as the sensing range and … Read more

Understanding LoRA: Low-Rank Adaptation for Large Language Models

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Understanding LoRA: Low-Rank Adaptation for Large Language Models

Introduction LoRA (Low-Rank Adaptation of Large Language Models) is a very practical fine-tuning framework for large models. Before the emergence of LoRA, I used to manually modify parameters, optimizers, or layer counts to “refine” models, which was extremely blind. However, the LoRA technique allows for quick fine-tuning of parameters. If the results after LoRA fine-tuning … Read more

EfficientCrackNet: A Lightweight Model for Crack Detection

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EfficientCrackNet: A Lightweight Model for Crack Detection

Disclaimer All works indicated as “Source: XXX (not from Jizhi Shutong)” on this public account are reprinted from other media; copyright belongs to the original author. If there is any infringement, please contact us for deletion. Thank you. Crack detection, especially in the domain of pavement images, faces significant challenges in the field of computer … Read more