Object/Trait

com.thoughtworks.deeplearning

Layer

Related Docs: trait Layer | package deeplearning

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object Layer

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Type Members

  1. type Aux[-Input0 <: Tape, +Output0 <: Tape] = Layer { ... /* 2 definitions in type refinement */ }

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    A Layer whose Input and Output are specified from type parameter Input0 and Output0.

    A Layer whose Input and Output are specified from type parameter Input0 and Output0.

    See also

    aux pattern evolution

    aux pattern

  2. trait Tape extends AutoCloseable

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    Tape is a intermediate data structure generated by the forward of neural network , which contains result of the forward, and can perform backward for back-propagation.

    Tape is a intermediate data structure generated by the forward of neural network , which contains result of the forward, and can perform backward for back-propagation.

    Note

    close method must be called when this Tape will not be used any more.

    See also

    tape auto differentiation

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. object Tape

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  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. final def ne(arg0: AnyRef): Boolean

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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