FullyConnectedNetworkRegressor activation functions

Machine Learning & AI General
tomphysics OP
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Hi,

I am using FullyConnectedNetworkRegressor to build an ML pipeline. The FullyConnectedNetworkConfiguration allows one to specify hiddenUnitCounts for the hidden layers, but I don't see any way to specify or get the activation function for the hidden layers.

Is there a way to specify the activation function for the hidden layers? If not, does anyone know what activation function is used for the hidden layers or how they are determined?

Thanks, Tom

Answered by Frameworks Engineer in 742319022

Hi Tom,

FullyConnectedNetworkRegressor and classifier use ReLU as activation. It can't be configured.

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Frameworks Engineer OP
Apple
Accepted Answer

Hi Tom,

FullyConnectedNetworkRegressor and classifier use ReLU as activation. It can't be configured.
tomphysics OP

Thanks