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neuralNetwork
NNUtil
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package neuralNetwork
object
NNUtil
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@Experimental
()
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final
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arg0:
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:
Boolean
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final
def
##
()
:
Int
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final
def
==
(
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:
Boolean
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final
def
asInstanceOf
[
T0
]
:
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def
clone
()
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protected[
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@throws
(
...
)
def
crossEntropy
(
out:
Matrix
[
Double
]
,
label:
Matrix
[
Double
]
)
:
Double
final
def
eq
(
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:
Boolean
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def
equals
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def
finalize
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@throws
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classOf[java.lang.Throwable]
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final
def
getClass
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hashCode
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def
initGaussianDistWeight
(
weight:
DenseMatrix
[
Double
]
,
scale:
Double
)
:
DenseMatrix
[
Double
]
def
initGaussianDistWeight
(
numIn:
Int
,
numOut:
Int
,
scale:
Double
)
:
DenseMatrix
[
Double
]
def
initGaussianDistWeight
(
numIn:
Int
,
numOut:
Int
)
:
DenseMatrix
[
Double
]
def
initUniformDistWeight
(
w:
DenseMatrix
[
Double
]
,
low:
Double
,
high:
Double
)
:
DenseMatrix
[
Double
]
def
initUniformDistWeight
(
numIn:
Int
,
numOut:
Int
,
low:
Double
,
high:
Double
)
:
DenseMatrix
[
Double
]
def
initUniformDistWeight
(
w:
DenseMatrix
[
Double
]
,
scale:
Double
)
:
DenseMatrix
[
Double
]
def
initUniformDistWeight
(
numIn:
Int
,
numOut:
Int
,
scale:
Double
)
:
DenseMatrix
[
Double
]
def
initUniformDistWeight
(
numIn:
Int
,
numOut:
Int
)
:
DenseMatrix
[
Double
]
def
initializeBias
(
numOut:
Int
)
:
DenseVector
[
Double
]
def
initializeWeight
(
w:
DenseMatrix
[
Double
]
,
rand: () ⇒
Double
)
:
DenseMatrix
[
Double
]
def
initializeWeight
(
numIn:
Int
,
numOut:
Int
,
rand: () ⇒
Double
)
:
DenseMatrix
[
Double
]
def
initializeWeight
(
numIn:
Int
,
numOut:
Int
)
:
DenseMatrix
[
Double
]
final
def
isInstanceOf
[
T0
]
:
Boolean
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def
meanSquaredError
(
out:
Matrix
[
Double
]
,
label:
Matrix
[
Double
]
)
:
Double
final
def
ne
(
arg0:
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:
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final
def
notify
()
:
Unit
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final
def
notifyAll
()
:
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def
scalarExp
(
x:
Double
,
expThreshold:
Double
=
64D
)
:
Double
def
sigmoid
(
x:
Double
,
expThreshold:
Double
)
:
Double
Annotations
@inline
()
def
sigmoid
(
x:
Double
)
:
Double
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@inline
()
def
sigmoidPrimitive
(
y:
Double
)
:
Double
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@inline
()
def
softMaxPrimitive
(
y:
Double
)
:
Double
Annotations
@inline
()
def
softplus
(
x:
Double
,
expThreshold:
Double
=
64
)
:
Double
Annotations
@inline
()
def
softplusPrimitive
(
y:
Double
,
expThreshold:
Double
=
64
)
:
Double
Annotations
@inline
()
final
def
synchronized
[
T0
]
(
arg0: ⇒
T0
)
:
T0
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def
tanh
(
x:
Double
)
:
Double
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@inline
()
def
tanhPrimitive
(
y:
Double
)
:
Double
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@inline
()
def
toString
()
:
String
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final
def
wait
()
:
Unit
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@throws
(
...
)
final
def
wait
(
arg0:
Long
,
arg1:
Int
)
:
Unit
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(
...
)
final
def
wait
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arg0:
Long
)
:
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