Class Trainer4D

Namespace

NeuralNetworks.Trainers

Assembly

NeuralNetworks.dll

public class Trainer4D : Trainer<float[,,,], float[,]>

Inheritance

object

Trainer<float[,,,], float[,]>

Trainer4D

Inherited Members

Trainer<float[,,,], float[,]>.Memo

Trainer<float[,,,], float[,]>.GenerateBatches(float[,,,], float[,], int)

Trainer<float[,,,], float[,]>.PermuteData(float[,,,], float[,], Random)

Trainer<float[,,,], float[,]>.GetRows(float[,,,])

Trainer<float[,,,], float[,]>.Fit(DataSource<float[,,,], float[,]>, EvalFunction<float[,,,], float[,]>, int, int, int, int, bool, bool, bool)

Trainer<float[,,,], float[,]>.Describe(int)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

Trainer4D(Model<float[,,,], float[,]>, Optimizer, SeededRandom, ILogger<Trainer4D>, bool)

public Trainer4D(Model<float[,,,], float[,]> model, Optimizer optimizer, SeededRandom random, ILogger<Trainer4D> logger, bool operationBackendTimingEnabled = false)

Parameters

model Model<float[,,,], float[,]>

optimizer Optimizer

random SeededRandom

logger ILogger<Trainer4D>

operationBackendTimingEnabled bool

Methods

GenerateBatches(float[,,,], float[,], int)

Generates batches of input and output matrices.

protected override IEnumerable<(float[,,,] xBatch, float[,] yBatch)> GenerateBatches(float[,,,] x, float[,] y, int batchSize)

Parameters

x float[,,,]

The input matrix.

y float[,]

The output matrix.

batchSize int

The batch size.

Returns

IEnumerable<(float[,,,] xBatch, float[,] yBatch)>

An enumerable of batches.

GetRows(float[,,,])

protected override float GetRows(float[,,,] x)

Parameters

x float[,,,]

Returns

float

PermuteData(float[,,,], float[,], Random)

protected override void PermuteData(float[,,,] x, float[,] y, Random random)

Parameters

x float[,,,]

y float[,]

random Random