Tag：machine learning
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Stable Diffusion model principle and realization process (with commonly used model website, download method)
catalogs preamble What is the Stable Diffusion model? Stable Diffusion works: Application Scenarios for Stable Diffusion Modeling Stable Diffusion free use site stability.ai: Local deployment of Stable Diffusion methods: StableDiffusion Chinese Blogger Introduction: Specializing in front and back end, machine learning, artificial intelligence applications development of quality creators, adhering to the spirit of the Internet […]
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Machine learning: classifying bank customers based on Kmeans clustering algorithm
Article Catalog Machine learning: classifying bank customers based on Kmeans clustering algorithm 1, Kmeans principle 2. Experimental environment 3、Kmeans simple code implementation 3.1 Constructed data 3.2 Visualization 3.3 Clustering into binary classification 3.4 Obtaining results 3.5 Visualization of results 3.6 Clustering into 3 classes 3.7 Visualization of results 4、Kmeans case practice 4.1 Case background 4.2 […]
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Particle Swarm Algorithm (PSO) Optimized BP Neural Network Predictive Regression – with code
catalogs Abstracts: 1.BP model neural network model 2. Particle Swarm Optimization Algorithm (PSO) pseudocode implementation 3. Particle swarm algorithm combined with BP neural network (PSO-BP) 4. Results of program operation 5. Matlab code for this paper Abstracts: BP neural network is a common multi-layer feed-forward neural network, this article through the particle swarm algorithm (PSO) […]
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Tensorflow-gpu nanny-level installation tutorial (Win11, Anaconda3, Python3.9)
Tensorflow-gpu Nanny Installation Tutorial (Win11, Anaconda3, Python3.9) preamblePreparation for Tensorflow-gpu version installation(a) Check the computer’s video card:(ii), Anaconda installation(iii) cuda download and installation(D), cudnn download and installation(v) Configuration of environment variables(F), create tensorflow environment(VII), test whether Tensorflow-gpu is installed successfully or notuninstall and reinstall preamble CPUversions andGPUThe differences between the versions are mainlyrunning speed，GPUVersion Running […]
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Python based license plate recognition system implementation
This paper will take the direction of Python based license plate recognition system implementation, introduce the basic principles of license plate recognition technology, common algorithms and methods, and explain in detail how to use Python language to implement a complete license plate recognition system. catalogs introductoryApplication Scenarios of License Plate Recognition TechnologyAdvantages of Python in […]
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NLP Large Model Fine-Tuning Principles
1. Background LLM (Large Language Model) Large Language Model, designed to understand and generate human language, needs to be trained on a large amount of text data. It is generally based on the Transformer structure and has a parameter count of Billion or more. For example, GPT-3 (175B), PaLM (560B). Three big things are happening […]
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Stable Diffusion tutorial
10,000 Words: Stable Diffusion Nanny Tutorials 2022 is definitely the year of the AI explosion, preceded by thestability.ai expand one’s financial resourcesStable Diffusion model, followed byOpen AI postChatGPTThe two are milestone node event, its importance is no less than when Apple released the iPhone, Google launched Android. they make AI is no longer a remote […]
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Introduction to LDA Topic Modeling and Python Implementation
I. Introduction to the LDA Theme Model The LDA topic model is mainly used to infer the topic distribution of documents, which can give the topic of each document in the document set in the form of a probability distribution according to the topic for topic clustering or text classification. The LDA topic model does […]
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Anchor based and Anchor free
Difference between anchor-free and anchor-based Anchor-free and anchor-based are two different target detection methods, the difference being whether or not a predefined anchor box is used to match a real target box. Anchor-based methods use anchor boxes of different sizes and shapes to regress and categorize targets, such as faster rcnn, retinanet, and yolo, etc. […]