Agentic AI
Understanding GAN Networks
Introduction GAN, short for Generative Adversarial Networks, is a type of generative model. Personally, I like to call it the “involution” network. Why do I say this? Let’s start with a story!!! 01 The Story of Cops and Robbers On a distant planet in the universe, there is a city that is emerging, with various … Read more
The Development History of Generative Adversarial Networks (GAN)
Source: https://en.wikipedia.org/wiki/Edmond_de_Belamy Five years ago, Generative Adversarial Networks (GANs) revolutionized the field of deep learning. This revolution led to significant technological breakthroughs. Ian Goodfellow and others proposed GANs in “Generative Adversarial Networks.” The academic and industrial sectors began to embrace and welcome the arrival of GANs. The rise of GANs was inevitable. Firstly, the most … Read more
Sydney University Professor Tao Dacheng: Genetic Adversarial Networks Effectively Address Two Major Pain Points of GANs
Source: New Intelligence This article has 7372 words, recommended reading 10 minutes. This article organizes the speech content of Professor Tao Dacheng at the AI WORLD 2018 World Artificial Intelligence Summit on September 20. [ Introduction ] Professor Tao Dacheng from the University of Sydney, an academician of the Australian Academy of Science and chief … Read more
A Comprehensive Explanation of the Mathematical Principles of GANs
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered immediately! Source | PaperWeekly ©PaperWeekly Original · Author｜Sun Yudao School｜PhD student at Beijing University of Posts and Telecommunications Research Direction｜GAN Image Generation, Emotion Adversarial Sample Generation Thesis Title: A Mathematical Introduction to Generative Adversarial Nets Thesis Link: https://arxiv.org/abs/2009.00169 Introduction Since the groundbreaking work of … Read more
The Evolution of Modern AI and Deep Learning
Click the card below to follow the “CVer” WeChat public account AI/CV heavy content delivered instantly Click to join —> the CV WeChat technical exchange group Reprinted from: New Intelligence | Edited by: Xinpeng Hao Kun [Guide] Recently, Jürgen Schmidhuber, the father of LSTM, reviewed the history of artificial intelligence since the 17th century. In … Read more
AI Introduction to BP Neural Network Algorithm Derivation and Implementation
▌1. Introduction: As a beginner in AI, I referenced some articles and wanted to take some notes to deepen my understanding. I am sharing this for those who need it, and I hope it helps others as well! [Toxic Chicken Soup]: Algorithms often leave you in a state of confusion –> “Who am I, where … Read more
Understanding Model Pre-training in Neural Networks
This article will explain the essence of pre-training principles, and applications in three aspects, helping you understand model pre-training Pre-training. Pre-training 1.Essence of Pre-training AI = Data + Algorithms + Computing Power Three Elements of AI Dataset:Data is one of the three pillars of AI and is very important in AI technology. Datasets are generally … Read more
Understanding ANN (Artificial Neural Networks) in One Article
This article will coverbiological neural networks, artificial neural networksandneural network trainingand classification and applications in four aspects, bringing you to understand artificial neural network ANN in one article. 1.Biological Neural Networks Basic Definition: Baidu Encyclopedia:Biological Neural Networks generally refer to the networks composed of neurons, cells, synapses, etc. in biological brains, used to generate consciousness … Read more
Applications of Neural Network Algorithms in Urban Planning
Course Introduction In the “Opinions on Promoting New Urban Infrastructure Construction to Create Resilient Cities” issued by the Ministry of Housing and Urban-Rural Development in 2024, it mentions intelligent municipal services, smart cities, smart residential areas, digital homes, CIM, etc. Future urban construction cannot be separated from “intelligence”. This course will focus on artificial intelligence … Read more