• # 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.

## 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.