klyn.math.nn.optimizers.SGD.SGD
constructor
public SGD(learningRate as Double = 0.01)
Description

Configures a finite, positive learning rate.

Parameters
ParameterDescription
learningRateMultiplier applied to each gradient.
Throws
  • ValueException if the rate is non-positive or non-finite.
Example

optimizer = SGD<Float>(0.1)