Based on our record, ML5.js should be more popular than RiteTag. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You can use a tool like Ritetag to do hashtag research and find the best ones to include in your Tweets. Source: over 1 year ago
According to a keyword tool RiteTag, we're looking at about 8 posts per hour, with 3300 impressions per hour for #chicagobulls but 56k impressions per hour for #bulls. (An "impression" is a person being shown the ad/tweet/whatever. So if you buy an ad and they say you will get 5000 impressions, it means they will show the ad 5000 times.) Personally, that makes me super curious to wonder how those numbers would... Source: over 2 years ago
Speaking of SEO, here's a handy site I found that helps you find trending hashtags: https://ritetag.com/. Source: over 2 years ago
Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc. - Source: dev.to / over 1 year ago
See also: https://ml5js.org/ "The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.". - Source: Hacker News / almost 2 years ago
I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there. Source: about 2 years ago
Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all. - Source: dev.to / over 2 years ago
From other comments, a lot of JavaScript developers who want to use TensorFlow had never heard of TensorFlow.js or ml5.js! Source: over 2 years ago
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