BIDMach.models

DNN

object DNN

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Type Members

  1. class FC extends ModelLayerSpec

  2. class GLM extends LayerSpec

  3. class Input extends LayerSpec

  4. class LayerSpec extends AnyRef

  5. class LearnOptions extends Learner.Options with Opts with datasources.MatDS.Opts with updaters.ADAGrad.Opts with mixins.L1Regularizer.Opts

  6. class ModelLayerSpec extends LayerSpec

  7. class Options extends Opts

  8. trait Opts extends Model.Opts

  9. class Rect extends LayerSpec

Value Members

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

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def dlayers(depth0: Int, width: Int, taper: Float, ntargs: Int, opts: Opts): Array[LayerSpec]

    Build a stack of layers.

    Build a stack of layers. layer(0) is an input layer, layer(n-1) is a GLM layer. Intermediate layers are FC alternating with Rect, starting and ending with FC. First FC layer width is given as an argument, then it tapers off by taper.

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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  10. final def getClass(): Class[_]

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. def learner(mat0: Mat, targ: Mat, mat1: Mat, preds: Mat, d: Int): (Learner, LearnOptions, Learner, LearnOptions)

  14. def learner(fnames: List[(Int) ⇒ String], d: Int): (Learner, Learner.Options with Opts with datasources.SFilesDS.Opts with updaters.ADAGrad.Opts)

  15. def learner(mat0: Mat, targ: Mat, d: Int): (Learner, Learner.Options with Opts with datasources.MatDS.Opts with updaters.ADAGrad.Opts)

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

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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

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  20. def toString(): String

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  21. final def wait(): Unit

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

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  23. final def wait(arg0: Long): Unit

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