https://github.com/charliegerard/fem-ml-workshop
Repository for my FrontEnd Masters workshop on Machine Learning in JavaScript
https://github.com/charliegerard/fem-ml-workshop
ai javascript machine-learning tensorflowjs
Last synced: 11 months ago
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Repository for my FrontEnd Masters workshop on Machine Learning in JavaScript
- Host: GitHub
- URL: https://github.com/charliegerard/fem-ml-workshop
- Owner: charliegerard
- Created: 2024-04-08T21:13:50.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-21T20:04:22.000Z (almost 2 years ago)
- Last Synced: 2025-04-07T13:51:37.640Z (about 1 year ago)
- Topics: ai, javascript, machine-learning, tensorflowjs
- Language: JavaScript
- Homepage: https://fem-ml-workshop.netlify.app/
- Size: 5.86 MB
- Stars: 44
- Watchers: 2
- Forks: 35
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[](https://frontendmasters.com/courses/tensorflow-js/)
This repo is a companion to the [Machine Learning in JavaScript with TensorFlow.js course](https://frontendmasters.com/courses/tensorflow-js/) on Frontend Masters.
# Machine Learning in JavaScript with TensorFlow.js - FrontEnd Masters
Check out the [course website](https://fem-ml-workshop.netlify.app)
## Workshop projects
The workshop projects can be found in the `exercises` folder. Each exercise has a README file with instructions on how to run it.
You will find empty files called `part1.js`, `part2.js`, etc. for each sub project in which you should write your JavaScript code as you go through the workshop.
## Project Instructions
We recommend using `Node version 20`. For each project, change directories and install the dependencies. For example:
```bash
cd exercises/project-1/
npm install
npm run watch
```
## Projects' solutions
There is a `solutions` folder with the solution to each exercise if you need to see the completed project at any time. This folder contains all the code written during the workshop.
You will also find a folder called `solutions-old` that contains the original code I was planning on writing in the workshop if you want to have a look. It is very close to what we ended up doing during the course, only with a few little adjustments, such as more layers in the custom model.