Abstract
After studies of fundamental operations of convolution and sub-sampling in previous chapter, we introduce here convolutional neural networks and consider those designed for particular data: images. First of all we will expose some general principles, then go into detail layer-by-layer and finally briefly overview most popular convolutional neural networks architectures.
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Zemmari, A., Benois-Pineau, J. (2020). Convolutional Neural Networks as Image Analysis Tool. In: Deep Learning in Mining of Visual Content. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-34376-7_6
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DOI: https://doi.org/10.1007/978-3-030-34376-7_6
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