rohanmistry231/Tensorflow-Js-Interview-Preparation
A focused resource for mastering TensorFlow.js, featuring practice problems, code examples, and interview-oriented machine learning concepts for web-based AI. Covers model development, deployment, and optimization in JavaScript for technical interview success.
This is a comprehensive resource designed for web developers and machine learning engineers looking to build and deploy AI directly in web browsers or Node.js environments. It provides practical examples and guided instruction for creating interactive, AI-driven web applications, covering everything from initial model development to optimization and deployment. The output is functional, web-based machine learning applications and the knowledge to excel in technical interviews related to web AI.
No commits in the last 6 months.
Use this if you are a web developer or machine learning engineer who wants to integrate AI capabilities directly into web applications using JavaScript and prepare for related technical interviews.
Not ideal if you are looking for a purely academic understanding of machine learning theory without a focus on web implementation or interview preparation.
Stars
14
Forks
—
Language
HTML
License
MIT
Category
Last pushed
May 22, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/rohanmistry231/Tensorflow-Js-Interview-Preparation"
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
ewfian/faiss-node
Node.js bindings for faiss
nikhilk/node-tensorflow
Node.js + TensorFlow
beenotung/tensorflow-helpers
Helper functions to use tensorflow in nodejs for transfer learning, image classification, and more