BaseOutputLayer (deeplearning4j-nn 1.0.0-M2.1 API)

java.lang.Object
- org.deeplearning4j.nn.conf.layers.Layer
- - org.deeplearning4j.nn.conf.layers.BaseLayer
  - - org.deeplearning4j.nn.conf.layers.FeedForwardLayer
    - - org.deeplearning4j.nn.conf.layers.BaseOutputLayer

All Implemented Interfaces:

Serializable, Cloneable, TrainingConfig

Direct Known Subclasses:

CenterLossOutputLayer, OCNNOutputLayer, OutputLayer, RnnOutputLayer
```
public abstract class BaseOutputLayer
extends FeedForwardLayer
```
See Also:

Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class BaseOutputLayer.Builder<T extends BaseOutputLayer.Builder<T>>

Field Summary

Fields
Modifier and Type Field Description

protected boolean hasBias

protected ILossFunction lossFn
- Fields inherited from class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
  nIn, nOut, timeDistributedFormat
- Fields inherited from class org.deeplearning4j.nn.conf.layers.BaseLayer
  activationFn, biasInit, biasUpdater, gainInit, gradientNormalization, gradientNormalizationThreshold, iUpdater, regularization, regularizationBias, weightInitFn, weightNoise
- Fields inherited from class org.deeplearning4j.nn.conf.layers.Layer
  constraints, iDropout, layerName

Constructor Summary

Constructors
Modifier Constructor Description

protected BaseOutputLayer(BaseOutputLayer.Builder builder)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`LayerMemoryReport`	`getMemoryReport(InputType inputType)`	This is a report of the estimated memory consumption for the given layer
`boolean`	`hasBias()`

Methods inherited from class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
getOutputType, getPreProcessorForInputType, isPretrainParam, setNIn

Methods inherited from class org.deeplearning4j.nn.conf.layers.BaseLayer
clone, getGradientNormalization, getRegularizationByParam, getUpdaterByParam, resetLayerDefaultConfig

Methods inherited from class org.deeplearning4j.nn.conf.layers.Layer
initializeConstraints, initializer, instantiate, setDataType

Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.deeplearning4j.nn.api.TrainingConfig
getGradientNormalizationThreshold, getLayerName

- Field Detail
  - lossFn
```
protected ILossFunction lossFn
```
  - hasBias
```
protected boolean hasBias
```
- Constructor Detail
  - BaseOutputLayer
```
protected BaseOutputLayer(BaseOutputLayer.Builder builder)
```
- Method Detail
  - hasBias
```
public boolean hasBias()
```
  - getMemoryReport
```
public LayerMemoryReport getMemoryReport(InputType inputType)
```
    Description copied from class: Layer
    
    This is a report of the estimated memory consumption for the given layer
    
    Specified by:
    
    getMemoryReport in class Layer
    
    Parameters:
    
    inputType - Input type to the layer. Memory consumption is often a function of the input type
    
    Returns:
    
    Memory report for the layer