package deeplearning
- Alphabetic
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- All
Type Members
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trait
BufferedLayer
extends Layer
Author:
杨博 (Yang Bo) <[email protected]>
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trait
Layer
extends AnyRef
The layer of DeepLearning.Scala is similar to the layer of neural networks ,But there are some details is difference The layer in the neural networks means a layer of network, but the layer in DeepLearning.Scala means a operation, many operations could also compose together to be one layer(at this time , layer is means layer of neural networks).
The layer of DeepLearning.Scala is similar to the layer of neural networks ,But there are some details is difference The layer in the neural networks means a layer of network, but the layer in DeepLearning.Scala means a operation, many operations could also compose together to be one layer(at this time , layer is means layer of neural networks). Every operation in DeepLearning.Scala is a layer. Every layer contains input,output and forward.
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trait
Symbolic
[NativeOutput] extends AnyRef
- Annotations
- @implicitNotFound( ... )
Value Members
- object BufferedLayer
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object
DifferentiableAny
Author:
杨博 (Yang Bo) <[email protected]>
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object
DifferentiableBoolean
Author:
杨博 (Yang Bo) <[email protected]>
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object
DifferentiableCoproduct
Author:
杨博 (Yang Bo) <[email protected]>
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object
DifferentiableDouble
Author:
杨博 (Yang Bo) <[email protected]>
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object
DifferentiableFloat
Author:
杨博 (Yang Bo) <[email protected]>
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object
DifferentiableHList
Author:
杨博 (Yang Bo) <[email protected]>
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object
DifferentiableInt
Author:
杨博 (Yang Bo) <[email protected]>
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object
DifferentiableNothing
Author:
杨博 (Yang Bo) <[email protected]>
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object
DifferentiableSeq
Author:
杨博 (Yang Bo) <[email protected]>
- object Layer
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object
Poly
Author:
杨博 (Yang Bo) <[email protected]>
- object Symbolic extends LowPrioritySymbolic