ML5.js is recommended for educators, beginners, artists, and developers who want to quickly implement machine learning models in web applications. It is also suitable for creative coding projects and interactive applications where simplicity and ease of use are important.
Based on our record, Tasker should be more popular than ML5.js. It has been mentiond 30 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.
I have seen many videos where people use the Tasker app for automation. How is this different from Termux:Tasker app? Source: over 1 year ago
Have a look at Tasker it's a fantastic tool for automation, it does have a bit of a learning curve but nothing to steep. Source: almost 2 years ago
For me that's Tasker. I've installed it on every phone I've owned since my Nexus 4 in 2013. Currently I use it to:. Source: about 2 years ago
Depends upon the phone. On Samsung it would be a routine. On others something like tasker. Source: about 2 years ago
There's an Android app called Tasker that is much more flexible and powerful. It allows you to set up rules that trigger actions based on the contexts of your choosing, including combinations of contexts (ie location + time). It's $3.50 in the Google Play store. It does not require rooting. It has a large user community and there are lots of "recipes" out there for accomplishing various things.... Source: over 2 years ago
Ml5.js: Built on top of TensorFlow.js, it provides a user-friendly interface for implementing machine learning in web applications.. - Source: dev.to / about 2 months 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 2 years 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 3 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: over 3 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 3 years ago
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