We’re giving away 1,500 DJI Tello drones. Enter to win ›
Get the code
View the demo
By Niklas Heidloff, Ansgar Schmidt, Olaph Wagoner | Published September 19, 2018 - Updated September 19, 2018
This pattern shows how to create an app for an Anki Cozmo toy robot to recognize three types of other toys (a deer, adragon, and a dinosaur). The sample application uses an extended MobileNet model. Predictions against that model are executed by TensorFlow running in an OpenWhisk function. The training is done on Kubernetes on IBM Cloud.
This code pattern contains a sample application that uses an extended MobileNet TensorFlow model to aid an Ansi Cozmo toy robot in recognizing different toys. The predictions are executed by TensorFlow running in an OpenWhisk function.
This code pattern is an extension of the TensorFlow for Poets tutorial, which describes how to retrain MobileNet’s final layer of a neural network for new categories. It is based on the previous work by Niklas Heidloff at Sample Application: how to use TensorFlow in OpenWhisk.
This code pattern works with the following components:
This code pattern shows you how to complete the following tasks:
Find detailed technical steps for this code pattern in the README.md file in the GitHub repository.
November 30, 2018
Back to top