Selected from | Medium Transferred from | Machine Heart Contributors | Jiang Siyuan, Huang Xiaotian, Wu Pan Image classification is one of the fundamental research topics in the field of artificial intelligence, and researchers have developed a large number of algorithms for image classification. Recently, Shiyu Mou published an article on Medium, comparing five methods … Read more
Selected from Medium Translated by Machine Heart Contributors: Jiang Siyuan, Huang Xiaotian, Wu Pan Image classification is one of the fundamental research topics in artificial intelligence, and researchers have developed a large number of algorithms for image classification. Recently, Shiyu Mou published an article on Medium that experimentally compared five methods for image classification (KNN, … Read more
Selected from KDnuggets Translated by Machine Heart Author:Michael Dietz Contributors: Jane W, Yan Qi, Wu Pan Generative Adversarial Networks (GANs) have gained significant attention in the research community recently. In this article, Michael Dietz, founder of Waya.ai, explains why GANs hold such potential and illustrates how GANs work through a vivid comparison with boxing matches. … Read more
This article will coverthe essence of fine-tuningthe principles of fine-tuning, and the applications of fine-tuning in three aspects to help you understand model fine-tuning Fine-tuning . Fine-tuning Model Fine-tuning The Essence of Fine-tuning How to Utilize Pre-trained Models?Two popular methods are Transfer Learning and Fine-tuning. Transfer Learning is a broader concept that includes various methods … Read more
Click the “Expert Knowledge” above to follow for more AI insights! Source: Zhihu – Qs.Zhang https://zhuanlan.zhihu.com/p/30074544 【Introduction】Hello everyone, my name is Zhang Quanshi, a postdoctoral researcher at UCLA. Currently, I lead a team in Professor Zhu Songchun’s lab, focusing on explainable AI. The title of this article is quite grand; in this short essay, I … Read more
Debris flow susceptibility evaluation is an important part of debris flow prevention and control work. Reliable evaluation results can provide important basis for formulating scientific disaster prevention and reduction plans in related areas. Thanks to the development of remote sensing technology, geographic information systems, global positioning systems, and computer technology, debris flow susceptibility evaluation technology … Read more
Selected fromthe Gradient Author：Sebastian Ruder Translated by Machine Heart In the field of computer vision, models pre-trained on ImageNet are commonly used for various CV tasks such as object detection and semantic segmentation. In contrast, in the field of natural language processing (NLP), we typically only use pre-trained word embedding vectors to encode the relationships … Read more
Recommended by New Intelligence Yuan Source: Zhuangzhi (ID: Quan_Zhuanzhi) [New Intelligence Yuan Guide] In reality, natural language processing faces various types of tasks across multiple domains and languages, making it impractical to label data for each task individually. Transfer learning allows for the transfer of learned knowledge to related scenarios. This article introduces Dr. Sebastian … Read more