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maybe I'm wrong,but I found you may not mark the network with biases,such as fc(x, config, θ,"label"),which would arise error
The text was updated successfully, but these errors were encountered:
When you provide θ, you do need "label" because the deep neural network is uniquely identified by θ.
"label" is useful when you build a neural network by specifying weights and biases implicitly. For example
y1 = fc(x, config) y2 = fc(x, config)
y1 and y2 are outputs of the same DNN.
y1
y2
y1 = fc(x, config,"label1") y2 = fc(x, config,"label2")
y1 and y2 are outputs of two different DNNs.
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maybe I'm wrong,but I found you may not mark the network with biases,such as fc(x, config, θ,"label"),which would arise error
The text was updated successfully, but these errors were encountered: