Neuron Net
- a -
activation :
CLayerDescription
,
CNeuronBase
,
CNeuronBaseOCL
alpha :
CNeuronBase
,
CNeuronBaseOCL
AttentionOut :
CNeuronAttentionOCL
- c -
Connections :
CNeuronBase
count :
CLayerDescription
- d -
deltaWeight :
CConnection
DeltaWeights :
CNeuronBaseOCL
DeltaWeightsConv :
CNeuronConvOCL
- f -
FF1 :
CNeuronAttentionOCL
FF2 :
CNeuronAttentionOCL
FirstMomentum :
CNeuronBaseOCL
FirstMomentumConv :
CNeuronConvOCL
ForgetGate :
CNeuronLSTM
- g -
gradient :
CNeuronBase
Gradient :
CNeuronBaseOCL
- i -
Input :
CNeuronLSTM
InputGate :
CNeuronLSTM
InputGradient :
CNeuronLSTM
iStep :
CNeuronProof
,
CNeuronProofOCL
iUnits :
CNeuronAttentionOCL
iWindow :
CNeuronAttentionOCL
,
CNeuronProof
,
CNeuronProofOCL
iWindowOut :
CNeuronConvOCL
- k -
Keys :
CNeuronAttentionOCL
- m -
m_myIndex :
CBufferDouble
,
CNeuronBase
,
CNeuronBaseOCL
Memory :
CNeuronLSTM
mt :
CConnection
- n -
NewContent :
CNeuronLSTM
- o -
OpenCL :
CBufferDouble
,
CNeuronBaseOCL
optimization :
CLayerDescription
,
CNeuronBase
,
CNeuronBaseOCL
Output :
CNeuronBaseOCL
OutputGate :
CNeuronLSTM
OutputLayer :
CNeuronProof
outputVal :
CNeuronBase
- p -
param :
CNeuronConv
PrevMemory :
CNeuronLSTM
PrevOutput :
CNeuronBaseOCL
prevVal :
CNeuronBase
- q -
Querys :
CNeuronAttentionOCL
- r -
recentAverageSmoothingFactor :
CNet
- s -
Scores :
CNeuronAttentionOCL
SecondMomentum :
CNeuronBaseOCL
SecondMomentumConv :
CNeuronConvOCL
step :
CLayerDescription
- t -
t :
CNeuronBase
,
CNeuronBaseOCL
type :
CLayerDescription
- v -
Values :
CNeuronAttentionOCL
vt :
CConnection
- w -
weight :
CConnection
Weights :
CNeuronBaseOCL
WeightsConv :
CNeuronConvOCL
window :
CLayerDescription
window_out :
CLayerDescription
Generated by
1.8.20