In the vast cosmos of artificial intelligence, Convolutional Neural Networks (CNN) shine like a brilliant star, leading the rapid development of computer vision, image recognition, natural language processing, and other fields. Since its inception in the 1980s, CNN has gradually become one of the core algorithms of deep learning due to its unique structure and … Read more
Approximately 1600 words, recommended reading time 7 minutes. This article will deeply analyze the underlying reasons for the decline in CNN research popularity and the development direction of this classic architecture in the new era. In the field of deep learning, Convolutional Neural Networks (CNNs) were once synonymous with computer vision. Since AlexNet’s groundbreaking success … 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
Welcome to the special winter vacation column “High-Tech Lessons for Kids” launched by Popular Science China! Artificial intelligence, as one of the most cutting-edge technologies today, is changing our lives at an astonishing speed. From smart voice assistants to self-driving cars, from AI painting to machine learning, it opens up a future full of infinite … Read more
The coolest branch of machine learning is probably deep learning (Deeplearning) and reinforcement learning (Reinforcement learning). Deep Learning Deep learning is an algorithm that models the implicit distribution of data in machine learning through multi-layer representations. In other words, deep learning algorithms automatically extract low-level or high-level features required for classification. Therefore, deep learning can … Read more
Click the blue text to follow us Written by / Mei Tao Abstract Image recognition is an important branch of artificial intelligence, and its performance on specific academic benchmark datasets (such as ImageNet) has even surpassed human levels. However, during the transition from academia to application, image recognition still faces the 3S challenges—space ultra-fine (Space, … Read more
Welcome to follow and receive learning materials. After selecting from the public account, you can receive daily updates. Plot In episode 7 of Qing Yu Nian 2, aside from the queen, there is a question of “who exactly is this woman in the painting”. Fan Xian also discovers the faceless woman in the prince’s painting, … Read more
By Nanjing Zhongshe Aviation Technology Development Co., Ltd. The prerequisite for intelligent highway management is to be “visible.” With the maturity and popularization of advanced image acquisition technologies such as drones and satellite remote sensing, full road visualization, real-world simulation, and digitization have become important development directions, using image recognition technology for intelligent analysis and … Read more
This is the664th original article. Your attention is the greatest encouragement for us! Keywords: fairness, bias, debiasing learning, image recognition, deep learning Algorithmic fairness is one of the important themes in the benevolent development of artificial intelligence and a key component of trustworthy AI. Establishing reasonable models to ensure unbiased algorithmic decision-making is a necessary … Read more
(Author: Jian Sun, Chief Researcher at Microsoft Research Asia / Editor: Guangpu) From the savage days of raw survival to the concrete jungles of modern cities, humanity has gradually projected its capabilities onto computers. Whether in computational power or memory, today’s computers perform remarkably well. However, having these abilities is still far from enough; we … Read more