Ali-Fayzi/tensorflowjs-tutorial
Tensorflow.JS Course in Maktabkhoone
This course helps web developers integrate artificial intelligence capabilities directly into their web applications. You'll learn how to build, train, and run machine learning models using JavaScript in the browser, enabling features like image recognition or sentiment analysis. The target audience is web developers who want to add AI features to their websites without needing server-side AI infrastructure.
No commits in the last 6 months.
Use this if you are a web developer looking to embed AI and machine learning features directly into web browsers using JavaScript.
Not ideal if you are not a web developer or if you need to build complex, large-scale AI models that require significant server-side processing.
Stars
7
Forks
—
Language
JavaScript
License
—
Category
Last pushed
Nov 06, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Ali-Fayzi/tensorflowjs-tutorial"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
OpenMined/syft.js
The official Syft worker for Web and Node, built in Javascript
transcranial/keras-js
Run Keras models in the browser, with GPU support using WebGL
nikhilk/node-tensorflow
Node.js + TensorFlow
ewfian/faiss-node
Node.js bindings for faiss
beenotung/tensorflow-helpers
Helper functions to use tensorflow in nodejs for transfer learning, image classification, and more