Keras forward pass with dropout

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I am trying to use dropout to get error estimates for a neural network.

This involves running several forward passes of my network after training, with dropout activated. Dropout does not seem to be activated when calling model.predict() however. Can this be done in Keras or must i take my weights elsewhere?

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