My Solutions for Browser-based Models with TensorFlow.js - Offered by Stanford University
This repository contains the ungraded labs and programming assignments that accompany Course 1 - Browser-based Models with TensorFlow.js of the TensorFlow for Data and Deployment Specialization at Coursera.
You will need to have an internet browser, an HTML editor, and a web server installed on your machine to run the examples and exercises. We recommend you use Chrome as your internet browser, Brackets as your HTML editor and the Web Server for Chrome App as your web server. All of these are free and are available for various platforms including Windows, Mac OS, and Linux.
The exercise and example in Week 3 of this course also contains a Jupyter Notebook. To run this notebook you will need have installed Jupyter with Python 3, TensorFlow 2.0, Tensorflowjs, NumPy, and Matplotlib.
Have fun learning TensorFlow.js!