options = trainingOptions('sgdm')
options =
TrainingOptionsSGDM with properties:
Momentum: 0.9000
InitialLearnRate: 0.0100
MaxEpochs: 30
LearnRateSchedule: 'none'
LearnRateDropFactor: 0.1000
LearnRateDropPeriod: 10
MiniBatchSize: 128
Shuffle: 'once'
CheckpointFrequency: 1
CheckpointFrequencyUnit: 'epoch'
SequenceLength: 'longest'
PreprocessingEnvironment: 'serial'
L2Regularization: 1.0000e-04
GradientThresholdMethod: 'l2norm'
GradientThreshold: Inf
Verbose: 1
VerboseFrequency: 50
ValidationData: []
ValidationFrequency: 50
ValidationPatience: Inf
ObjectiveMetricName: 'loss'
CheckpointPath: ''
ExecutionEnvironment: 'auto'
OutputFcn: []
Metrics: []
Plots: 'none'
SequencePaddingValue: 0
SequencePaddingDirection: 'right'
InputDataFormats: "auto"
TargetDataFormats: "auto"
ResetInputNormalization: 1
BatchNormalizationStatistics: 'auto'
OutputNetwork: 'auto'
Acceleration: "auto"
sgdm supports InitalLearnRate.