In 2014, the Visual Geometry Group at the University of Oxford and Google DeepMind developed a new convolutional neural network called VGGNet. VGGNet is a deeper deep convolutional neural network than AlexNet, and this model achieved second place in the 2014 ILSVRC competition, with GoogLeNet taking first place (which we will introduce later). Paper: Very … Read more
Click the above “AI Youdao” and select “Star” public account Heavyweight content delivered immediately Editor: Yi Zhen https://www.zhihu.com/question/337470480 This article is for academic sharing only. If there is an infringement, it will be deleted. Reports on machine learning algorithms and natural language processing What Bold and Innovative Neural Network Structures Exist in Convolutional Neural Networks? … Read more
The hands-on deep learning live course has completed the first three parts! In the past 4 months, Dr. Mu Li, a senior chief scientist at Amazon has explained the basics of deep learning, convolutional neural networks, and computer vision. Since the course started, over 10,000 people have participated in the live learning, and the course … Read more
In the field of deep learning, there are many specialized terms that can be quite overwhelming at first glance. However, as we delve deeper, we gradually start to understand them, albeit feeling like something is still missing. Today, we will discuss a specialized term called Attention mechanism! 1. Intuitive Understanding of Attention Imagine a scenario … Read more
Join the professional CV group at Jishi, and interact with 10,000+ visual developers from top universities and companies like HKUST, Peking University, Tsinghua University, Chinese Academy of Sciences, CMU, Tencent, Baidu! We also provide monthly live sharing sessions with experts, real project requirements matching, and a collection of valuable information for industry technical exchanges. Follow … Read more
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
Introduction to Image Recognition: OpenCV Basics Today, I will introduce a revolutionary Python library in the field of computer vision—OpenCV. Whether you are a novice in image processing or an expert in computer vision, OpenCV is an indispensable assistant. Basic Introduction and Core Features OpenCV (Open Source Computer Vision Library) is a powerful open-source computer … Read more
Click the Blue Words Follow Us Highlights AI robot image recognition technology is a method that uses computer vision and machine learning algorithms to identify and analyze objects, features, and relationships in images.Image recognition technology mainly includesimage digitization, preprocessing, feature extraction, classification, and recognition (application of image models)and other processes. By analyzing the pixel values, … Read more
Python Practical Guide: Implementing Image Recognition Hey, friends! I am Xiuyatuwen, your Python mentor. Today we’re going to do something exciting, skipping the boring theories and diving straight into practice—implementing image recognition with Python! Sounds impressive, right? Don’t worry, just follow me step by step, and I guarantee you’ll become an image recognition expert too! … Read more
# Introduction to Python Image Recognition Library Hello everyone, I am a Python tutorial author. Today we will explore a “master” in the Python world— the Photobucket image recognition library. With this powerful tool, we can intelligently recognize and analyze images, making a significant impact in the fields of computer vision and machine learning. Let’s … Read more