Abstract
Finding circles is a classification problem. Given a bunch of geometric shapes, we want the deep learning system to classify a shape as either a circle or something else. This is much simpler than classifying faces or digits. It is a good way to determine how well your classification system works. We will apply a convolutional network to the problem as it is the most appropriate for classifying image data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Imagenet classification with deep convolutional neural networks. Technical report.
Shaojie Bai, J. Zico Kolter, and Vladlen Koltun. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. arXiv, April 2018.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2020 Michael Paluszek and Stephanie Thomas
About this chapter
Cite this chapter
Paluszek, M., Thomas, S. (2020). Finding Circles with Deep Learning. In: Practical MATLAB Deep Learning. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5124-9_3
Download citation
DOI: https://doi.org/10.1007/978-1-4842-5124-9_3
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-5123-2
Online ISBN: 978-1-4842-5124-9
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)