ml5-library VS Express

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.

> Have we seen any creator of a deep learning library, take a similar position if not stopping any support for anyone using it for mass surveillance?

ml5.js license:

> This license gives everyone as much permission to work with this software as possible as long as they comply with the ml5.js Code of Conduct [...]

ml5.js code of conduct:

> Do not: [...] Use ml5.js to build tools of mass surveillance and prediction to repress the rights of people

https://github.com/ml5js/ml5-library/blob/main/LICENSE.md

Not sure how enforcable this is but it exists.

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."

(5) ml5.js

ML.js

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.

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.

Yeah they made ml5.js for this reason: https://ml5js.org/

I do feel like Google could do better communicating all of their different tools though. Their ecosystem is large and pretty confusing - they've got so many projects going on at once that it always seems like everyone gets fed up with them before they take a second pass and make them more friendly to newcomers.

Facebook seems to have taken a much more focused approach as you can see with PyTorch Live

From other comments, a lot of JavaScript developers who want to use TensorFlow had never heard of TensorFlow.js or ml5.js!

Express: A lightweight framework for building web applications.

Now, we will create API using expressjs. When we created application using --ssr flag, the Angular CLI already took care of installing expressjs for us.

First, we import express. The Express framework allows us to create routes that will respond to webhook POST requests and serve an HTML file when a GET request is made to the root of the site.

Basic Knowledge of Express

Express.js Documentation

In the JavaScript ecosystem, there are guides for enabling SAML-based enterprise single sign-on in AdonisJS, Express.js, Next.js, Remix, and React with an Express.js backend.

Starting off strong with Express.js, the cool kid on the block for building web apps. It's lightweight, flexible, and doesn't throw a tantrum when you ask it to scale. With Express, you can handle HTTP requests like a pro, play around with middleware, set up routes without breaking a sweat, and render views that make your app look stunning. Big names like Netflix and Uber are already on board, and if it's good enough for them, it's definitely worth a peek.

express - one of the most popular middleware tools, lightweight and easy to learn. docs

Now we can install both Express and Socket.io libraries: