public DenseFullLayer(
MessageShape inputMessageShape,
int numberOfNeurons,
bool enableBiases,
Optimizer optimizer)
: base(inputMessageShape, numberOfNeurons, enableBiases)
{
_weightOptimizers = new Optimizer[inputMessageShape.Size, numberOfNeurons];
_weightOptimizers.UpdateForEach <Optimizer>((q, i) => optimizer.Clone() as Optimizer);
_biasOptimizers = new Optimizer[numberOfNeurons];
_biasOptimizers.UpdateForEach <Optimizer>((q, i) => optimizer.Clone() as Optimizer);
_cache = Vector.Build.Dense(inputMessageShape.Size);
}
public static Optimizer[] InitializeBiasOptimizers(
int numberOfkernels,
Optimizer optimizer)
{
var optimizers = new Optimizer[numberOfkernels];
optimizers.UpdateForEach <Optimizer>(q => optimizer.Clone() as Optimizer);
return(optimizers);
}
public static Optimizer[][,,] InitializeKernelOptimizers(
int depth,
int numberOfkernels,
int kernelSize,
Optimizer optimizer)
{
var optimizers = new Optimizer[numberOfkernels][, , ];
optimizers.UpdateForEach <Optimizer[, , ]>(q => new Optimizer[depth, kernelSize, kernelSize]);
optimizers.ForEach(q => q.UpdateForEach <Optimizer>(w => optimizer.Clone() as Optimizer));
return(optimizers);
}