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  • Afroz Mohiuddin thinks this is interesting:

When using the network as a classifier at test time (“inference”), there is no dropout and the full network is used as is.

From

Cover of Learning TensorFlow

Note

Please also note that while training the output is boosted by \frac{1}{keep_prob} in order to compensate for the absence of dropout at inference time.