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In a convolutional neural network (CNN), a convolutional layer has several channels, each of which has one convolution kernel, often written down as a matrix. This convolution kernel is nothing more than a collection of weights used to compute a linear combination of elements of the input. While both "traditional" dense layers and convolutional ...


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Disclaimer: i am one of the authors of the referenced link. If you are doing pure image classification/segmentation, I would say no. I would not store the output of convolution layers, noramlly. In principle, the output of models can be stored in the feature store, however. Feature stores store data in tabular file formats (like parquet) and are used to ...


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