## Uses of Interface
org.encog.neural.networks.training.BatchSize

- Packages that use BatchSize
  Package | Description
  --- | ---
  org.encog.neural.networks.training.propagation |
  org.encog.neural.networks.training.propagation.back |
  org.encog.neural.networks.training.propagation.manhattan |
  org.encog.neural.networks.training.propagation.quick |
  org.encog.neural.networks.training.propagation.resilient |
  org.encog.neural.networks.training.propagation.scg |

- - ### Uses of BatchSize in org.encog.neural.networks.training.propagation

    Classes in org.encog.neural.networks.training.propagation that implement BatchSize
    Modifier and Type | Class and Description
    --- | ---
    `class` | `Propagation` Implements basic functionality that is needed by each of the propagation methods.

  - ### Uses of BatchSize in org.encog.neural.networks.training.propagation.back

    Classes in org.encog.neural.networks.training.propagation.back that implement BatchSize
    Modifier and Type | Class and Description
    --- | ---
    `class` | `Backpropagation` This class implements a backpropagation training algorithm for feed forward neural networks.

  - ### Uses of BatchSize in org.encog.neural.networks.training.propagation.manhattan

    Classes in org.encog.neural.networks.training.propagation.manhattan that implement BatchSize
    Modifier and Type | Class and Description
    --- | ---
    `class` | `ManhattanPropagation` One problem that the backpropagation technique has is that the magnitude of the partial derivative may be calculated too large or too small.

  - ### Uses of BatchSize in org.encog.neural.networks.training.propagation.quick

    Classes in org.encog.neural.networks.training.propagation.quick that implement BatchSize
    Modifier and Type | Class and Description
    --- | ---
    `class` | `QuickPropagation` QPROP is an efficient training method that is based on Newton's Method.

  - ### Uses of BatchSize in org.encog.neural.networks.training.propagation.resilient

    Classes in org.encog.neural.networks.training.propagation.resilient that implement BatchSize
    Modifier and Type | Class and Description
    --- | ---
    `class` | `ResilientPropagation` One problem with the backpropagation algorithm is that the magnitude of the partial derivative is usually too large or too small.

  - ### Uses of BatchSize in org.encog.neural.networks.training.propagation.scg

    Classes in org.encog.neural.networks.training.propagation.scg that implement BatchSize
    Modifier and Type | Class and Description
    --- | ---
    `class` | `ScaledConjugateGradient` This is a training class that makes use of scaled conjugate gradient methods.

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