Intro · 1:43
Introduction
Accessible ML.
- ml5.js: friendly JavaScript ML library.
- Built on TensorFlow.js.
- Course projects.
| Item | Detail |
|---|---|
| Library | ml5.js |
| Base | TensorFlow.js |
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Library?
ml5.js.
Built on?
TensorFlow.js.
0:00 welcome to this ml5.js course where you'll explore the world of machine learning through an accessible and userfriendly JavaScript library ml 5js is built on top of tensorflow.js providing a simplified interface for integrating machine learning models into web applications Henry lie developed this course this course will guide you through the basics of using ml5.js to create interactive and intelligent web experiences okay welcome to today's tutorial my name is Henry and what we're going to be talking about today is getting a beginner's guide to machine learning for us web developers with mfjs and so we're just going to talk about the various ways you can incorporate different machine learning into your projects we're going to talk about things like transfer learning we're going to talk about pre-train models we're going to talk about transfer learning and custom models um all inside project so we can see it in action and one of the biggest motivation for me to really make this tutorial is because for a lot of us with developers when weever we hear machine learning it's such intimidating topics because what pops into your mind is all the mathematic and statistics and all this big brain that has to go into it and so that's why I picked them off IGS because it's a nice
1:10 library that provides that abstraction where we can start integrating machine learning to our projects you know without having to learn all of those mathematic statistics but we can understand the important Concepts and the training and the components that go into machine learning and so mfi JS is often associated with PJs which is a way to create art with code but in our case because I want you to focus more on the machine learning aspect effect we're going to essentially do this in vanilla JavaScript with only the MJS Library so in the next session we're going to essentially talk a little bit of the fundamentals of machine learning and understand the actual training process that goes into it so I'll see you guys in the next one bye all right so just a little prere before we get started uh you are going to need to understand the fundamentals of HTML CSS and JavaScript and a little interaction of the Dome um and so what you're going to do is you're
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