trait Network[V, In, Out] extends (In) ⇒ Out with Logs with LossFuncGrapher with IllusionBreaker with Welcoming with Serializable

Linear Supertypes
Serializable, Serializable, Welcoming, IllusionBreaker, LossFuncGrapher, Logs, Loggable[Unit], (In) ⇒ Out, AnyRef, Any
Known Subclasses
CNN, DistCNN, DistFFN, FFN, RNN
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. Network
  2. Serializable
  3. Serializable
  4. Welcoming
  5. IllusionBreaker
  6. LossFuncGrapher
  7. Logs
  8. Loggable
  9. Function1
  10. AnyRef
  11. Any
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Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract def apply(v1: In): Out
    Definition Classes
    Function1
  2. abstract val identifier: String
  3. abstract val layers: Seq[Layer]

    Layers of this neural network.

  4. abstract val lossFunction: LossFunction[V]

    The attached loss function.

  5. abstract val numericPrecision: String
  6. abstract val settings: Settings[V]

    Settings of this neural network.

  7. abstract val weights: Network.Weights[V]

    The weights are a bunch of matrices.

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def andThen[A](g: (Out) ⇒ A): (In) ⇒ A
    Definition Classes
    Function1
    Annotations
    @unspecialized()
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def checkSettings(): Unit

    Checks if the Settings are properly defined for this network.

    Checks if the Settings are properly defined for this network. Throws a neuroflow.core.IllusionBreaker.SettingsNotSupportedException if not. Default behavior is no op.

    Definition Classes
    IllusionBreaker
  7. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. def compose[A](g: (A) ⇒ In): (A) ⇒ Out
    Definition Classes
    Function1
    Annotations
    @unspecialized()
  9. def debug(message: String): Unit
    Definition Classes
    Logs → Loggable
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. def error(message: String): Unit
    Definition Classes
    Logs → Loggable
  13. def evaluate(in: In): Out

    Computes output for given input in.

    Computes output for given input in. Alias for net(x) syntax.

  14. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  16. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  17. def info(message: String): Unit
    Definition Classes
    Logs → Loggable
  18. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  19. def maybeGraph(loss: Double): Unit

    Appends the loss to the specified output file, if any, and executes given action, if any.

    Appends the loss to the specified output file, if any, and executes given action, if any. This does not block.

    Definition Classes
    LossFuncGrapher
  20. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  21. final def notify(): Unit
    Definition Classes
    AnyRef
  22. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  23. def sayHi(): Unit
    Definition Classes
    Welcoming
  24. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  25. def toString(): String
    Definition Classes
    Network → Function1 → AnyRef → Any
  26. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  29. def warn(message: String): Unit
    Definition Classes
    Logs → Loggable

Inherited from Serializable

Inherited from Serializable

Inherited from Welcoming

Inherited from IllusionBreaker

Inherited from LossFuncGrapher

Inherited from Logs

Inherited from Loggable[Unit]

Inherited from (In) ⇒ Out

Inherited from AnyRef

Inherited from Any

Ungrouped