BasicLSTMCell

Instance Constructors

new BasicLSTMCell(name: String, numUnits: Int, dataType: DataType, forgetBias: Float = 1.0f, activation: (Output) ⇒ Output = ops.Math.tanh(_), kernelInitializer: Initializer = null, biasInitializer: Initializer = ZerosInitializer)

name
Name scope (also acting as variable scope) for this layer.
numUnits
Number of units in the LSTM cell.
dataType
Data type for the parameters of this cell.
forgetBias
Forget bias added to the forget gate.
activation
Activation function used by this GRU cell.
kernelInitializer
Variable initializer for kernel matrices.
biasInitializer
Variable initializer for the bias vectors.

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
def +(other: Layer[Tuple[Output, LSTMState], Tuple[Output, LSTMState]]): Concatenate[Tuple[Output, LSTMState], Tuple[Output, LSTMState]]

Definition Classes
Layer
def ++(others: Seq[Layer[Tuple[Output, LSTMState], Tuple[Output, LSTMState]]]): Concatenate[Tuple[Output, LSTMState], Tuple[Output, LSTMState]]

Definition Classes
Layer
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def >>[S](other: Layer[Tuple[Output, LSTMState], S]): Compose[Tuple[Output, LSTMState], Tuple[Output, LSTMState], S]

Definition Classes
Layer
val activation: (Output) ⇒ Output

Activation function used by this GRU cell.
def apply(input: Tuple[Output, LSTMState])(implicit mode: Mode): Tuple[Output, LSTMState]

Definition Classes
Layer
final def asInstanceOf[T0]: T0

Definition Classes
Any
val biasInitializer: Initializer

Variable initializer for the bias vectors.
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def compose[S](other: Layer[Tuple[Output, LSTMState], S]): Compose[Tuple[Output, LSTMState], Tuple[Output, LSTMState], S]

Definition Classes
Layer
def concatenate(others: Layer[Tuple[Output, LSTMState], Tuple[Output, LSTMState]]*): Concatenate[Tuple[Output, LSTMState], Tuple[Output, LSTMState]]

Definition Classes
Layer
final def createCell(mode: Mode, inputShape: Shape): ops.rnn.cell.RNNCell[Output, Shape, LSTMState, (Shape, Shape)]

Definition Classes
RNNCell
def createCellWithoutContext(mode: Mode, inputShape: Shape): ops.rnn.cell.BasicLSTMCell

Definition Classes
BasicLSTMCell → RNNCell
final def currentStep: ops.Output

Definition Classes
Layer
val dataType: DataType

Data type for the parameters of this cell.
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
val forgetBias: Float

Forget bias added to the forget gate.
def forward(input: Tuple[Output, LSTMState])(implicit mode: Mode): Tuple[Output, LSTMState]

Definition Classes
Layer
final def forwardWithoutContext(input: Tuple[Output, LSTMState])(implicit mode: Mode): Tuple[Output, LSTMState]

Definition Classes
RNNCell → Layer
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
final def getParameter(name: String, dataType: types.DataType, shape: core.Shape, initializer: Initializer = null, regularizer: Regularizer = null, trainable: Boolean = true, reuse: Reuse = ReuseOrCreateNew, collections: Set[Key[ops.variables.Variable]] = Set.empty, cachingDevice: (OpSpecification) ⇒ String = null): ops.Output

Definition Classes
Layer
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val kernelInitializer: Initializer

Variable initializer for kernel matrices.
val layerType: String

Definition Classes
BasicLSTMCell → Layer
def map[MR](mapFn: (Tuple[Output, LSTMState]) ⇒ MR): Layer[Tuple[Output, LSTMState], MR]

Definition Classes
Layer
val name: String

Name scope (also acting as variable scope) for this layer.
Name scope (also acting as variable scope) for this layer.

Definition Classes
BasicLSTMCell → RNNCell → Layer
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val numUnits: Int

Number of units in the LSTM cell.
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
Layer → AnyRef → Any
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Docs: object BasicLSTMCell | package cell

class BasicLSTMCell extends RNNCell[Output, Shape, LSTMState, (Shape, Shape)]

Instance Constructors

new BasicLSTMCell(name: String, numUnits: Int, dataType: DataType, forgetBias: Float = 1.0f, activation: (Output) ⇒ Output = ops.Math.tanh(_), kernelInitializer: Initializer = null, biasInitializer: Initializer = ZerosInitializer)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

def +(other: Layer[Tuple[Output, LSTMState], Tuple[Output, LSTMState]]): Concatenate[Tuple[Output, LSTMState], Tuple[Output, LSTMState]]

def ++(others: Seq[Layer[Tuple[Output, LSTMState], Tuple[Output, LSTMState]]]): Concatenate[Tuple[Output, LSTMState], Tuple[Output, LSTMState]]

final def ==(arg0: Any): Boolean

def >>[S](other: Layer[Tuple[Output, LSTMState], S]): Compose[Tuple[Output, LSTMState], Tuple[Output, LSTMState], S]

val activation: (Output) ⇒ Output

def apply(input: Tuple[Output, LSTMState])(implicit mode: Mode): Tuple[Output, LSTMState]

final def asInstanceOf[T0]: T0

val biasInitializer: Initializer

def clone(): AnyRef

def compose[S](other: Layer[Tuple[Output, LSTMState], S]): Compose[Tuple[Output, LSTMState], Tuple[Output, LSTMState], S]

def concatenate(others: Layer[Tuple[Output, LSTMState], Tuple[Output, LSTMState]]*): Concatenate[Tuple[Output, LSTMState], Tuple[Output, LSTMState]]

final def createCell(mode: Mode, inputShape: Shape): ops.rnn.cell.RNNCell[Output, Shape, LSTMState, (Shape, Shape)]

def createCellWithoutContext(mode: Mode, inputShape: Shape): ops.rnn.cell.BasicLSTMCell

final def currentStep: ops.Output

val dataType: DataType

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

val forgetBias: Float

def forward(input: Tuple[Output, LSTMState])(implicit mode: Mode): Tuple[Output, LSTMState]

final def forwardWithoutContext(input: Tuple[Output, LSTMState])(implicit mode: Mode): Tuple[Output, LSTMState]

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

val kernelInitializer: Initializer

val layerType: String

def map[MR](mapFn: (Tuple[Output, LSTMState]) ⇒ MR): Layer[Tuple[Output, LSTMState], MR]

val name: String

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val numUnits: Int

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from RNNCell[Output, Shape, LSTMState, (Shape, Shape)]

Inherited from Layer[Tuple[Output, LSTMState], Tuple[Output, LSTMState]]

Inherited from AnyRef

Inherited from Any

Ungrouped