case class NetParam(w: MatriD, b: VectoD = null) extends Product with Serializable
The NetParam class bundles parameter weights and biases together.
- w
the weight matrix
- b
the optional bias/intercept vector (null => not used)
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Instance Constructors
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new
NetParam(w: MatriD, b: VectoD = null)
- w
the weight matrix
- b
the optional bias/intercept vector (null => not used)
Value Members
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final
def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
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-
def
*(x: MatriD): MatriD
Multiply matrix 'x' by the weight matrix 'w' and add the bias vector 'b'.
Multiply matrix 'x' by the weight matrix 'w' and add the bias vector 'b'.
- x
the matrix to multiply by
-
def
*:(x: MatriD): MatriD
Multiply matrix 'x' by the weight matrix 'w' and add the bias vector 'b'.
Multiply matrix 'x' by the weight matrix 'w' and add the bias vector 'b'. This is the right associative version (
NetParamon the left).- x
the matrix to multiply by
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def
+=(cw: MatriD, cb: VectoD = null): Unit
Add and assign the changes to the parameters (weights and biases).
Add and assign the changes to the parameters (weights and biases).
- cw
the change to the weights
- cb
the change to the baises
-
def
+=(c: NetParam): Unit
Add and assign the changes to the parameters (weights and biases).
Add and assign the changes to the parameters (weights and biases).
- c
the change to the parameters
-
def
-=(cw: MatriD, cb: VectoD = null): Unit
Subtract and assign the changes to the parameters (weights and biases).
Subtract and assign the changes to the parameters (weights and biases).
- cw
the change to the weights
- cb
the change to the baises
-
def
-=(c: NetParam): Unit
Subtract and assign the changes to the parameters (weights and biases).
Subtract and assign the changes to the parameters (weights and biases).
- c
the change to the parameters
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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- var b: VectoD
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def
clone(): AnyRef
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- @throws( ... ) @native() @HotSpotIntrinsicCandidate()
-
def
copy: NetParam
Make a copy of the network parameters.
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def
dot(x: VectoD): VectoD
Multiply vector 'x' by the weight matrix 'w' and add the bias vector 'b'.
Multiply vector 'x' by the weight matrix 'w' and add the bias vector 'b'.
- x
the vector to multiply by
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final
def
eq(arg0: AnyRef): Boolean
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final
def
getClass(): Class[_]
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final
def
isInstanceOf[T0]: Boolean
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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def
set(cw: MatriD, cb: VectoD = null): Unit
Update/assign '(cw, cb)' to this.
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def
set(c: NetParam): Unit
Update/assign 'c' to this.
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
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def
toString(): String
Convert this
NetParamobject to a string showing this ('b') parameter's weight matrix 'b.w' and bias vector 'b.b'.Convert this
NetParamobject to a string showing this ('b') parameter's weight matrix 'b.w' and bias vector 'b.b'.- Definition Classes
- NetParam → AnyRef → Any
- val w: MatriD
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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final
def
wait(): Unit
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Deprecated Value Members
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def
finalize(): Unit
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- Deprecated