Click on the blue text above the image “Smart World” to subscribe Introduction Although it seems that the hype curve of deep learning has somewhat contracted (at this stage, the technology is still not mature, and the products are not yet refined, but the market has already heated up, and people’s expectations are very high.) … Read more
Please click on the four words above “Siyi Technology” to follow us. Siyi Technology focuses on brain image data processing, covering (radiomics,fMRI, structural images, white matter hyperintensity analysis, PVS, PET, spectroscopy, CEST, DWI, DTI-ALPS, QSM, ASL, IVIM, DCE,DSC, oxygen extraction fraction (OEF) andCMRO2, BOLD-CVR, primate brain imaging, mouse brain imaging, microbiota, EEG/ERP, magnetoencephalography, FNIRS, eye … Read more
Editor: Amusi | Source: Zhihu, originally from: cver https://www.zhihu.com/question/25097993 This article is for academic sharing only. If there is infringement, the article will be deleted. What Are the Techniques for Tuning Parameters in Deep Learning? The effectiveness of deep learning largely depends on how well the parameters are tuned. So how can we quickly and … Read more
Click the above“Gu Mu Pai Li Mo Chou” Follow *Friendly reminder:If you want to part-time join various high-tech startup teams, please add Li Mo Chou’s WeChat number: 13575329911 Say JoinTeam. Li Mo Chou said Today, Mo Chou wants to talk to everyone about deep learning, which is a great thing. It is a major breakthrough … Read more
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
A Novel Hybrid Method for Plant Classification Based on CNN-KNN Abstract: Plant classification is an interesting problem in the field of computer vision. Many researchers have completed the classification of plants through their leaves and flowers. Multiple studies have shown that leaves are the best and most consistent source of information for plant classification. However, … Read more
Reading time required 6 minutes Speed reading only takes 2 minutes Please respect original labor achievementsPlease indicate the link of this article and the author: Machine Learning Heart Click to read the original text or copy the following link to the browser to get the complete source code and data of the article: https://mbd.pub/o/bread/mbd-Z56VmZtt Abstract: … Read more
Alibaba Guide: Pedestrian re-identification refers to the task of accurately finding the same person in images from different cameras given a picture of that person from one camera. This technology holds significant research and practical application value, and has recently been widely applied in fields such as traffic and security, playing an important role in … Read more
Click on the "Xiaobai Learns Vision" above, choose to add "Starred" or "Pinned" Heavyweight content delivered at the first time Introduction MoD is a new method for Convolutional Neural Networks (CNNs) that improves computational efficiency by selectively processing channels. Unlike traditional static pruning methods, MoD adopts a dynamic computation approach, adjusting computational resources based on … Read more