Local Response Normalization.
The 4-D `input` tensor is treated as a 3-D array of 1-D vectors (along the last dimension), and each vector is normalized independently. Within a given vector, each component is divided by the weighted, squared sum of inputs within `depth_radius`. In detail,
sqr_sum[a, b, c, d] = sum(input[a, b, c, d - depth_radius : d + depth_radius + 1] ** 2) output = input / (bias + alpha * sqr_sum) ** beta
For details, see [Krizhevsky et al., ImageNet classification with deep convolutional neural networks (NIPS 2012)](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks).
Nested Classes
| class | LocalResponseNormalization.Options | Optional attributes for LocalResponseNormalization
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|
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| static LocalResponseNormalization.Options |
alpha(Float alpha)
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| Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
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| static LocalResponseNormalization.Options |
beta(Float beta)
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| static LocalResponseNormalization.Options |
bias(Float bias)
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| static <T extends TNumber> LocalResponseNormalization<T> |
create(Scope scope, Operand<T> input, Options... options)
Factory method to create a class wrapping a new LocalResponseNormalization operation.
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| static LocalResponseNormalization.Options |
depthRadius(Long depthRadius)
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| Output<T> |
output()
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public static LocalResponseNormalization.Options alpha (Float alpha)
Parameters
| alpha | A scale factor, usually positive. |
|---|
public Output<T> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static LocalResponseNormalization.Options bias (Float bias)
Parameters
| bias | An offset (usually positive to avoid dividing by 0). |
|---|
public static LocalResponseNormalization<T> create (Scope scope, Operand<T> input, Options... options)
Factory method to create a class wrapping a new LocalResponseNormalization operation.
Parameters
| scope | current scope |
|---|---|
| input | 4-D. |
| options | carries optional attributes values |
Returns
- a new instance of LocalResponseNormalization
public static LocalResponseNormalization.Options depthRadius (Long depthRadius)
Parameters
| depthRadius | 0-D. Half-width of the 1-D normalization window. |
|---|