GiantPandaCV Introduction: This series has not been updated for several months, and we will continue to explore the papers in this direction. In 2019 and 2020, many studies on Attention emerged. This paper, SA-Net: Shuffle Attention for Deep Convolutional Neural Networks, published in ICASSP 21, inherits the design concept of SGE while introducing Channel Shuffle, … Read more
Image classification sounds profound? Don’t worry! With Cursor, this AI programming tool, not only can we save our hair, but we can also code like the wind. Today, I’ll take you on a journey to create an automated image recognition project that is simple and fun. No need to thank me. What is Cursor? What … Read more
Introduction With the continuous advancement of artificial intelligence technology, the AI’s abilities to “hear” and “see” are becoming increasingly powerful. From speech recognition to image recognition, AI can not only interact with us through sound but also understand and analyze the surrounding world through vision. These technologies have not only changed the way we interact … Read more
Follow the official account above to reply:Course Resources can be obtained from this course There is a course on Tang Guoliang Llama model architecture from theory to practice Tang Guoliang Llama model architecture from theory to practice Tang Guoliang Llama Model Architecture: From Theory to Practice In today’s era of rapid advancement in artificial intelligence, … Read more
1Compiled by New Intelligence Source: machinelearningmastery.com Author: Jason Brownlee Compiled by: Zhu Huan [New Intelligence Overview] In the field of Natural Language Processing (NLP), the promise of deep learning is: to bring better performance to new models that may require more data but no longer need as much linguistic expertise. In the field of NLP, … 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
Selected from arXiv Compiled by Machine Heart Contributors: Li Yazhou, Jiang Siyuan This article starts with two papers to briefly introduce the basic classifications and concepts of Natural Language Processing (NLP), and then showcases NLP in deep learning to the readers. Both papers are excellent introductory reviews, and readers who wish to delve deeper into … Read more
AI World 2017 Opening Video The AI WORLD 2017 World Artificial Intelligence Conference, hosted by the new intelligence source AI news think tank, was held on November 8 at the National Convention Center in Beijing. The conference, themed ‘AI New Dimensions, China Intelligent+’, featured reports and discussions from over a hundred AI leaders covering the … Read more
Selected from The M Tank Translated by Machine Heart Contributors: Jiang Siyuan, Liu Xiaokun The M Tank has edited a report titled “A Year in Computer Vision,” documenting the research achievements in the field of computer vision from 2016 to 2017. This detailed material is invaluable for developers and researchers. The material consists of four … Read more
Reported by New Intelligence Source: IEEE Spectrum Editor: Jin Lei 【New Intelligence Overview】DeepFake has recently become a hot topic, raising numerous concerns. In response to the potential negative impacts of DeepFake, researchers have developed a magical tool based on neural networks that can identify the authenticity of DeepFake images. The nemesis of DeepFake is here! … Read more