Sensorflow : Learning Through Motion
Date
2018-04Author
Ziebell, Nick
Abundez-Arce, Adrian
Johnson, Christopher R.
Metadata
Show full item recordAbstract
We want to enable the user to use internet-connected (IoT) devices in order to learn any alphabet outside the typical classroom setting in an engaging way. Machine learning facilitates classifying any type of images by learning through patterns in the data its given while making the program reusable for any type of similar datasets. Using this knowledge, this project is an
app that will be able to discern different types of alphabets it knows using a Machine Learning model called Convolutional Neural Network.
Subject
Language learning
Machine learning
Computer science
Mobile apps
Posters
Permanent Link
http://digital.library.wisc.edu/1793/78941Type
Presentation
Description
Color poster with text, graphs, charts, and pictures.