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Getting Started with Tensorflow.js

Offered By: Coursera Project Network via Coursera

Tags

TensorFlow.js Courses Javascript Courses TensorFlow Courses Typescript Courses

Course Description

Overview

By the end of this project, you will learn how to code a smart webcam to detect people and other everyday objects using a pre-trained COCO-SSD image recognition model with Tensorflow.js.

Based on an older library called deeplearn.js, Tensorflow.js is a deep learning library that leverages Tensorflow to create, train and run inference on artificial neural network models directly in a web browser, utilizing the client's GPU/CPU resources (accelerated using WebGL). Tensorflow.js brings Tensorflow to the web!

JavaScript/Typescript experience is heavily recommended.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Syllabus

  • Getting Started with Tensorflow.js
    • By the end of this project you will have coded a smart webcam application through the browser using Tensorflow.js.

Taught by

Charles Ivan Niswander II

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