From | CSDN Blog Author | JensLee Edited | Deep Learning This Little Thing Public Account This article is for academic exchange only. If there is any infringement, please contact the backend to delete it. Understanding GAN networks (Generative Adversarial Networks) from a beginner’s perspective can be thought of as a forgery machine, creating things … Read more
Produced by Big Data Digest Compiled by: Fei, Ni Ni, Mix Candy, QianTian Pei The main application of AI in the future is to establish networks that can learn from data and then generate original content. This idea has been fully applied in the field of Natural Language Processing (NLP), which is also why the … Read more
▌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
Hello everyone, I am Xiao Wu Ge. It has been a while since my last update. Recently, I have been looking at various topics, and I don’t know where to start. I have been quite busy with work, but I managed to find some time this weekend to write an article. Most of the articles … Read more
Source: CodeMeals cnblogs.com/fengfenggirl/p/bp_network.html Neural networks were once very popular, went through a period of decline, and are now gaining popularity again due to deep learning. There are many types of neural networks: feedforward networks, backpropagation networks, recurrent neural networks, convolutional neural networks, etc. This article introduces the basic backpropagation neural network (BP), focusing on the … Read more
Neural network algorithms are a type of supervised learning algorithm that can be used to solve classification or regression problems. Their biggest feature is the minimal requirements imposed on the model structure and assumptions, allowing them to approximate various statistical models without needing to assume a specific relationship between the response variable and feature variables … Read more
Madio.net Mathematics China ///Editor: Only Tulips’ Garden This article is reproduced from Anli University Mathematical Modeling. D1 Algorithm Introduction The Artificial Neural Networks (ANN) system emerged in the 1940s. It consists of numerous neurons connected by adjustable weights, featuring large-scale parallel processing, distributed information storage, and strong self-organizing and self-learning capabilities. The BP (Back Propagation) … Read more
Hello everyone! Today I want to reveal an AI gem in the Python world——Hugging Face’s transformers library! This library is like having a legion of AI assistants, specifically designed to call various top AI models. Using transformers is simply the Swiss Army knife of AI development! Come on, let’s explore the magical charm of the … Read more
1. AutoGPT Recently, the hot topic has been AutoGPT. I must say, AI is developing so fast that new things are coming out every few days, and we can barely keep up with the times. AutoGPT is an open-source application that showcases the capabilities of the GPT-4 language model. This program is powered by GPT-4 … Read more
Hello everyone, I am Yupi. Following the recent popularity of ChatGPT, another explosive open-source project Auto-GPT has emerged. In just the last 10 days, this project has garnered over 80,000 stars, with a total star count exceeding 100,000! So what exactly is Auto-GPT? Why is it so popular? How can we use and deploy it? … Read more