Hello everyone, I am Red Stone! The first typical CNN is the LeNet5 network, while the first CNN to shine brightly was AlexNet. In 2012, AlexNet emerged in the globally renowned image recognition competition ILSVRC, directly reducing the error rate by nearly 10 percentage points, which was something all previous machine learning models could not … Read more
↓↓↓Click to follow, reply withmaterials, a 10GB surprise Author: zzq Editor: Jishi Platform Source: https://zhuanlan.zhihu.com/p/68411179 For academic sharing only, does not represent the position of this publicaccount. Contact for removal if infringing. Introduction to Basic Components of CNN 1. Local Receptive Field In images, the connections between local pixels are relatively tight, while the connections … Read more
Paper Title: Mask R-CNNPaper Download Link: https://arxiv.org/abs/1703.06870 Before reading this blog post, you need to understand Faster R-CNN, FPN, and FCN. Faster R-CNN Video Explanation: https://www.bilibili.com/video/BV1af4y1m7iL?p=3 FPN Video Explanation: https://www.bilibili.com/video/BV1dh411U7D9 FCN Video Explanation: https://www.bilibili.com/video/BV1J3411C7zd Table of Contents 0 Introduction 1 Mask R-CNN 2 RoI Align 2.1 RoIPool Experiment 2.2 RoIAlign Experiment 3 Mask Branch (FCN) … Read more
Click the blue text above to follow us! When training a Convolutional Neural Network (CNN), it is common to first select a well-known backbone (such as ResNet-50) and then adjust the architecture to balance performance and efficiency based on requirements. Often, this adjustment concept relies heavily on experience, which needs to be cultivated through extensive … Read more
[Strategy Research Notes] Multi-armed Bandits If we don’t click the blue text, how do we get the story? This public account publishes the latest strategy calculation results (you can check at the end of the article); work diaries that are basically a stream of consciousness; and irregularly shares quantitative strategy research notes (including explanations of … Read more
Author: Chen Yang Editor: Huang Junjia Introduction Hi everyone, I am the pirate captain from Ocean University of China. Today, I am starting a new series. During this time, I have been helping Xuan Jie run experimental codes and conducted many comparative experiments. I found that the implementation of Keras is very good in terms … Read more
Convolutional Neural Networks (CNN): The Core of Image Processing Image recognition, once considered a “deadlock” in artificial intelligence, has now become a highlight of technology. Convolutional Neural Networks (CNN) serve as the core technology for image processing, shining brightly in many practical applications such as autonomous driving, medical image analysis, and facial recognition. So, how … Read more
Click on the “AIWalker” above, select “Star” or “Top” to receive important content promptly. In the past two years, many CNN architectures have emerged, some designed manually and others developed through NAS. However, once the architecture is established, there are always some commonalities among different methods. This article discusses several recent papers from the perspective … Read more
Table of Contents 1. System Overview 2. System Simulation Effect Preview 3. Core Code 4. Complete Project Acquisition 1. System Overview Faster R-CNN is a deep learning object detection algorithm based on Region Proposal Network (RPN) and Fast R-CNN. This algorithm consists mainly of two parts: the RPN network and the Fast R-CNN network. The … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, with an audience that includes NLP master’s and PhD students, university professors, and corporate researchers. The community’s vision is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for … Read more