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GoogleBot | / | ✔ |
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Sitemap: |
Title | fungai.org |
Description | Tensorflow Reading fungai.org assists scientists and enthusiasts to easily identify wild mushroom species from images using deep learning |
Keywords | N/A |
WebSite | fungai.org |
Host IP | 192.30.252.153 |
Location | United States |
Site | Rank |
US$3,144,947
Last updated: 2023-05-13 22:43:38
fungai.org has Semrush global rank of 3,365,495. fungai.org has an estimated worth of US$ 3,144,947, based on its estimated Ads revenue. fungai.org receives approximately 362,879 unique visitors each day. Its web server is located in United States, with IP address 192.30.252.153. According to SiteAdvisor, fungai.org is safe to visit. |
Purchase/Sale Value | US$3,144,947 |
Daily Ads Revenue | US$2,904 |
Monthly Ads Revenue | US$87,091 |
Yearly Ads Revenue | US$1,045,091 |
Daily Unique Visitors | 24,192 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
fungai.org. | A | 3599 | IP: 192.30.252.153 |
fungai.org. | A | 3599 | IP: 192.30.252.154 |
fungai.org. | NS | 3600 | NS Record: ns74.domaincontrol.com. |
fungai.org. | NS | 3600 | NS Record: ns73.domaincontrol.com. |
fungai.org. | MX | 3600 | MX Record: 5 alt1.aspmx.l.google.com. |
fungai.org. | MX | 3600 | MX Record: 5 alt2.aspmx.l.google.com. |
fungai.org. | MX | 3600 | MX Record: 10 aspmx2.googlemail.com. |
fungai.org. | MX | 3600 | MX Record: 10 aspmx3.googlemail.com. |
fungai.org. | MX | 3600 | MX Record: 1 aspmx.l.google.com. |
fungai.org. | TXT | 3600 | TXT Record: v=spf1 include:_spf.google.com ~all |
fungai.org. | TXT | 3600 | TXT Record: google-site-verification=b8mga7BqYav8uzbli_XoNzJPGDyCOV_hpLe3LDMjgr0 |
fungai.org - identify wild mushroom with deep learning Home Concept Demos Blog Team Contact Twitter GitHub fungAI.org is a machine learning application with the aim of identifying wild mushroom species from images using deep learning techniques. The project was primarily inspired and motivated by a casual friend’s Facebook post from a walking trip. hey do you know what mushroom this is? You can read more about the project concept , read our blog posts , try out an initial ReactJS frontend toy demo , and check out this Intel DevMesh Fungi Barbarian Project page . All project source codes are open sourced on GitHub. You may find more Demos and Github repository links here . GitHub Blog Posts --> Tensorflow Reading List Johnny Chan 02 Jan 2018 My personal reading list on mastering Tensorflow (updated regularly) Read More Train a basic wild mushroom classifier Johnny Chan 13 Dec 2017 Train a basic image classification model to identify 5 types of wild mushrooms, with Transfer Learning, |
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