- <init>
- updater
Gradient updater. For example, org.nd4j.linalg.learning.config.Adamor
org.nd4j.linalg.learning.confi
- l2
L2 regularization coefficient for the weights. Use with .regularization(true)
- list
Create a ListBuilder (for creating a MultiLayerConfiguration) with the specified
layers
Usage:
.l
- weightInit
Weight initialization scheme.
- seed
Random number generator seed. Used for reproducability between runs
- optimizationAlgo
Optimization algorithm to use. Most common:
OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT
- activation
Activation function / neuron non-linearity
- iterations
Number of optimization iterations.
- learningRate
Learning rate. Defaults to 1e-1
- gradientNormalization
Gradient normalization strategy. Used to specify gradient renormalization,
gradient clipping etc.
- graphBuilder
Create a GraphBuilder (for creating a ComputationGraphConfiguration).