Introducing Machine Learning Concepts by Training a Neural Network to Recognize Hand Gestures
DOI:
https://doi.org/10.1609/aaai.v32i1.11400Keywords:
machine learning, computer vision, education, convolutional neural networks, deep learningAbstract
We present an interactive guided activity to introduce supervised learning by training a deep neural network (treated as a black box) to recognize "rock paper scissors" hand gestures from unconstrained images. The audience is actively involved in acquiring a varied and representative dataset, on which the rest of the activity is based. Covered concepts include the training/evaluation split, classifier evaluation, baseline accuracy, overfitting, generalization, data augmentation.
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Published
2018-04-27
How to Cite
Giusti, A., Huber, D., & Gambardella, L. (2018). Introducing Machine Learning Concepts by Training a Neural Network to Recognize Hand Gestures. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). https://doi.org/10.1609/aaai.v32i1.11400
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Section
EAAI18 - Poster Papers