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Extracting latent features from an autoencoder with keras

So, i’ve made an autoencoder for the purpose of exracting useful
features from the images, a common task as far as i know, but this
is my first time actually doing this so i’m not sure how exactly
can i do it. I’ve fit a convolutional autoencoder on the set of
images, now i need to extract the output of a bottleneck layer for
each image i’ve got to construct a feature set of interest, how
should i do this? I used keras sequential way of writing the code
for the network

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