Abstract
Finding circles is a classification problem. Given a set 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.
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References
Shaojie Bai, J. Zico Kolter, and Vladlen Koltun. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. arXiv, April 2018.
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. ImageNet Classification with Deep Convolutional Neural Networks. Communications of the ACM, 60(6), 2017.
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Paluszek, M., Thomas, S., Ham, E. (2022). Finding Circles with Deep Learning. In: Practical MATLAB Deep Learning. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-7912-0_3
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DOI: https://doi.org/10.1007/978-1-4842-7912-0_3
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Publisher Name: Apress, Berkeley, CA
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Online ISBN: 978-1-4842-7912-0
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