Object/Class

ml.dmlc.mxnet

FeedForward

Related Docs: class FeedForward | package mxnet

Permalink

object FeedForward

Linear Supertypes
AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. FeedForward
  2. AnyRef
  3. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Type Members

  1. class Builder extends AnyRef

    Permalink

Value Members

  1. final def !=(arg0: Any): Boolean

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

    Permalink
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  5. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. def deserialize(bytes: Array[Byte], epoch: Int = 0, ctx: Array[Context] = Array(Context.cpu()), numEpoch: Int = 1, epochSize: Int = 1, optimizer: Optimizer = new SGD(), initializer: Initializer = new Uniform(0.01f), batchSize: Int = 128, allowExtraParams: Boolean = false): FeedForward

    Permalink

    Deserialize bytes to model.

    Deserialize bytes to model.

    bytes

    serialized model bytes.

    returns

    The loaded model that can be used for prediction.

  7. final def eq(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  9. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]

    Permalink
    Definition Classes
    AnyRef → Any
  11. def hashCode(): Int

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

    Permalink
    Definition Classes
    Any
  13. def load(prefix: String, epoch: Int, ctx: Array[Context] = Array(Context.cpu()), numEpoch: Int = 1, epochSize: Int = 1, optimizer: Optimizer = new SGD(), initializer: Initializer = new Uniform(0.01f), batchSize: Int = 128, allowExtraParams: Boolean = false): FeedForward

    Permalink

    Load model checkpoint from file.

    Load model checkpoint from file.

    prefix

    Prefix of model name.

    epoch

    epoch number of model we would like to load.

    returns

    The loaded model that can be used for prediction.

    Note

    - prefix-symbol.json will be saved for symbol. - prefix-epoch.params will be saved for parameters.

  14. final def ne(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  15. def newBuilder(symGen: SymbolGenerator): Builder

    Permalink
  16. def newBuilder(modelDef: Symbol): Builder

    Permalink
  17. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef
  18. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef
  19. final def synchronized[T0](arg0: ⇒ T0): T0

    Permalink
    Definition Classes
    AnyRef
  20. def toString(): String

    Permalink
    Definition Classes
    AnyRef → Any
  21. final def wait(): Unit

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

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from AnyRef

Inherited from Any

Ungrouped