Abstract
In this chapter, we will look at the main components of a convolutional neural network (CNN): kernels and pooling layers. We will then look at how a typical network looks. We will then try to solve a classification problem with a simple convolutional network and try to visualize the convolutional operation. The purpose of this is to try to understand, at least intuitively, how the learning works.
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Notes
- 1.
You can find a nice overview on Wikipedia at https://en.wikipedia.org/wiki/Kernel_(image_processing) .
- 2.
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© 2019 Umberto Michelucci
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Michelucci, U. (2019). Fundamentals of Convolutional Neural Networks. In: Advanced Applied Deep Learning . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4976-5_3
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DOI: https://doi.org/10.1007/978-1-4842-4976-5_3
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-4975-8
Online ISBN: 978-1-4842-4976-5
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