So for the one hidden layer the example provides the following:
model1 = build_supervised(X, Y, Qs=(1,), Ms=(15,15))model1.optimize('bfgs', max_iters=1000, messages=1)
What would be the code required to perform stochastic optimization for this example?
model1.optimize_SGD() doesn't work; returns the error NameError: global name 'SGD' is not defined
So for the one hidden layer the example provides the following:
model1 = build_supervised(X, Y, Qs=(1,), Ms=(15,15))model1.optimize('bfgs', max_iters=1000, messages=1)What would be the code required to perform stochastic optimization for this example?
model1.optimize_SGD()doesn't work; returns the errorNameError: global name 'SGD' is not definedThanks