Choosing CONJUGATE_GRADIENT or LINE_GRADIENT_DESCENT as optimization algorithm in NeuralNetworkConfiguration while performing a cross validation results in the following behavior:
First validation works properly (loss is reduced in each epoch)
Second and further validations' loss is static and does not reduce
Choosing
CONJUGATE_GRADIENT
orLINE_GRADIENT_DESCENT
as optimization algorithm inNeuralNetworkConfiguration
while performing a cross validation results in the following behavior:TODO: Inspect weights/updates