Introducing Machine Learning Concepts by Training a Neural Network to Recognize Hand Gestures
Abstract
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.
Cite
Text
Giusti et al. "Introducing Machine Learning Concepts by Training a Neural Network to Recognize Hand Gestures." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.11400Markdown
[Giusti et al. "Introducing Machine Learning Concepts by Training a Neural Network to Recognize Hand Gestures." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/giusti2018aaai-introducing/) doi:10.1609/AAAI.V32I1.11400BibTeX
@inproceedings{giusti2018aaai-introducing,
title = {{Introducing Machine Learning Concepts by Training a Neural Network to Recognize Hand Gestures}},
author = {Giusti, Alessandro and Huber, David and Gambardella, Luca Maria},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2018},
pages = {7950-7951},
doi = {10.1609/AAAI.V32I1.11400},
url = {https://mlanthology.org/aaai/2018/giusti2018aaai-introducing/}
}