Batch normalization
Found 8 free book(s)FiLM: Visual Reasoning with a General Conditioning Layer
arxiv.orgFigure 3: The FiLM generator (left), FiLM-ed network (mid-dle), and residual block architecture (right) of our model. Adam (Kingma and Ba 2015) (learning rate 3e 4), weight decay (1e 5), batch size 64, and batch normalization and ReLU throughout FiLM-ed network.
Batch Normalization: Accelerating Deep Network Training …
arxiv.orgvector, and Xbe the set of these inputs over the training data set. The normalization can then be written as a trans-formation bx = Norm(x,X) which depends not only on the given training example x
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