Getting Started with Tensorflow.js

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Getting Started with Tensorflow.js provided by Coursera is a comprehensive online course, which lasts for 2 hours worth of material. Getting Started with Tensorflow.js is taught by Charles Ivan Niswander II. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

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.