Click the "Xiaobai Learns Vision" above, select to add "Star" or "Top" Heavyweight content delivered first time Author | Tomer AmitTranslator | Wan Yue, Editor | Tu MinProduced by | CSDN (ID: CSDNnews) The following is the translation: In this article, I will share 25 questions about deep learning, hoping to help you prepare for … Read more
Article Title: Overview of Robustness Verification for Feedforward and Recurrent Neural Networks All Authors: Liu Ying, Yang Pengfei, Zhang Lijun, Wu Zhilin, Feng Yuan First Affiliation: National Key Laboratory of Computer Science (Institute of Software, Chinese Academy of Sciences) Publication Date: 2023, 34(7): 3134-3166 Abstract With the advent of the intelligent era, intelligent systems deployed … Read more
Author Michael NguyenTranslated by Wang Xiaoxin from Towards Data ScienceProduced by QbitAI | WeChat Official Account AI recognizes your voice, answers your questions, and helps you translate foreign languages, all relying on a special type of Recurrent Neural Network (RNN): Long Short-Term Memory Network (LSTM).Recently, there has been a very popular illustrated tutorial abroad about … Read more
Machine Heart Column This column is produced by Machine Heart SOTA! Model Resource Station, updated every Sunday on the Machine Heart public account. This column will review common tasks in natural language processing, computer vision, etc., and provide detailed explanations of classic models that have achieved SOTA in these tasks. Visit SOTA! Model Resource Station … Read more
Xinzhiyuan Report Source: blog.otoro.net Reporter: Wen Qiang 【Xinzhiyuan Guide】You never know the potential of Chinese characters. Hardmaru, a researcher at Google Brain’s Tokyo branch, uses neural networks to generate Chinese characters based on strokes, creating a series of “fake characters.” Some of them do look quite authentic. As we are all Chinese, having grown up … Read more
1. Introduction to CNN CNN is a type of neural network that utilizes convolutional calculations. It can reduce the original image with very large pixel sizes to a smaller pixel image while retaining the main features. This article elaborates on the content from Professor Li Hongyi’s PPT. 1.1 Why CNN for Images ① Why Introduce … Read more
If you don’t click the blue text to follow, the opportunity will fly away! CNN and RNN are the two most commonly used deep learning network architectures in deep learning. Some students may not be very clear about the differences between these two networks, and today I happened to see an image that can clearly … Read more
Deep learning is an important branch of artificial intelligence that has made significant progress in recent years. Among them, RNN, CNN, Transformer, BERT, and GPT are five commonly used deep learning models that have achieved important breakthroughs in fields such as computer vision and natural language processing. This article will briefly introduce these five models … Read more
0Introduction Nowadays, discussions about machine learning, deep learning, and artificial neural networks are becoming more prevalent. However, programmers often just want to use these magical frameworks without wanting to understand how they actually work. But if we can grasp the principles behind them, wouldn’t it be better for their usage? Today, we will discuss recurrent … Read more
Long Ge’s Message: On the path to excellence, only through continuous exploration can we create the future. Paper TitleARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer Publication DateJanuary 2025 AuthorsLin Yueyu, Li Zhiyuan, Peter Yue, Liu Xiao AffiliationUnknown Original Linkhttps://arxiv.org/pdf/2501.15570 Open Source Code Linkhttps://github.com/yynil/RWKVInside Demo Linkhttps://huggingface.co/RWKV-Red-Team/ARWKV-7B-Preview-0.1 Introduction In recent … Read more