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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.


Cover of Learning TensorFlow


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.