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Computation/ComputationCPU
Module Computation/ComputationCPU
Index
Classes
ComputationCPU
Functions
add
add
Number
divide
Number
dot
element
Wise
Divide
element
Wise
Multiply
fill
Random
fill
Zeros
log
log
Minus
One
logistic
Activation
logistic
Backpropagation
logistic
Loss
multiply
Number
penalty
pow
purelin
Loss
relu
Activation
relu
Backpropagation
set
Ones
softplus
Activation
sqrt
subtract
subtract
From
Number
tanh
Activation
transpose
Functions
Const
add
add
(
m1
:
Matrix
, m2
:
Matrix
)
:
Matrix
Parameters
m1:
Matrix
m2:
Matrix
Returns
Matrix
Const
add
Number
add
Number
(
m1
:
Matrix
, num
:
number
)
:
Matrix
Parameters
m1:
Matrix
num:
number
Returns
Matrix
Const
divide
Number
divide
Number
(
m1
:
Matrix
, num
:
number
)
:
Matrix
Parameters
m1:
Matrix
num:
number
Returns
Matrix
Const
dot
dot
(
m1
:
Matrix
, m2
:
Matrix
)
:
Matrix
Parameters
m1:
Matrix
m2:
Matrix
Returns
Matrix
Const
element
Wise
Divide
element
Wise
Divide
(
m1
:
Matrix
, m2
:
Matrix
)
:
Matrix
Parameters
m1:
Matrix
m2:
Matrix
Returns
Matrix
Const
element
Wise
Multiply
element
Wise
Multiply
(
m1
:
Matrix
, m2
:
Matrix
)
:
Matrix
Parameters
m1:
Matrix
m2:
Matrix
Returns
Matrix
Const
fill
Random
fill
Random
(
m1
:
Matrix
, parameter
:
number
)
:
Matrix
Parameters
m1:
Matrix
parameter:
number
Returns
Matrix
Const
fill
Zeros
fill
Zeros
(
m1
:
Matrix
)
:
Matrix
Parameters
m1:
Matrix
Returns
Matrix
Const
log
log
(
m1
:
Matrix
, pow
:
number
)
:
Matrix
Parameters
m1:
Matrix
pow:
number
Returns
Matrix
Const
log
Minus
One
log
Minus
One
(
m1
:
Matrix
, pow
:
number
)
:
Matrix
Parameters
m1:
Matrix
pow:
number
Returns
Matrix
Const
logistic
Activation
logistic
Activation
(
m
:
Matrix
)
:
Matrix
Parameters
m:
Matrix
Returns
Matrix
Const
logistic
Backpropagation
logistic
Backpropagation
(
sigma
:
Matrix
, oldY
:
Matrix
)
:
Matrix
Parameters
sigma:
Matrix
oldY:
Matrix
Returns
Matrix
Const
logistic
Loss
logistic
Loss
(
output
:
Matrix
, predictions
:
Matrix
)
:
number
Parameters
output:
Matrix
predictions:
Matrix
Returns
number
Const
multiply
Number
multiply
Number
(
m1
:
Matrix
, num
:
number
)
:
Matrix
Parameters
m1:
Matrix
num:
number
Returns
Matrix
Const
penalty
penalty
(
m
:
Matrix
)
:
number
Parameters
m:
Matrix
Returns
number
Const
pow
pow
(
m1
:
Matrix
, pow
:
number
)
:
Matrix
Parameters
m1:
Matrix
pow:
number
Returns
Matrix
Const
purelin
Loss
purelin
Loss
(
output
:
Matrix
, predictions
:
Matrix
)
:
number
Parameters
output:
Matrix
predictions:
Matrix
Returns
number
Const
relu
Activation
relu
Activation
(
m
:
Matrix
)
:
Matrix
Parameters
m:
Matrix
Returns
Matrix
Const
relu
Backpropagation
relu
Backpropagation
(
sigma
:
Matrix
, oldY
:
Matrix
)
:
Matrix
Parameters
sigma:
Matrix
oldY:
Matrix
Returns
Matrix
Const
set
Ones
set
Ones
(
m1
:
Matrix
)
:
Matrix
Parameters
m1:
Matrix
Returns
Matrix
Const
softplus
Activation
softplus
Activation
(
m
:
Matrix
)
:
Matrix
Parameters
m:
Matrix
Returns
Matrix
Const
sqrt
sqrt
(
m
:
Matrix
)
:
Matrix
Parameters
m:
Matrix
Returns
Matrix
Const
subtract
subtract
(
m1
:
Matrix
, m2
:
Matrix
)
:
Matrix
Parameters
m1:
Matrix
m2:
Matrix
Returns
Matrix
Const
subtract
From
Number
subtract
From
Number
(
m1
:
Matrix
, num
:
number
)
:
Matrix
Parameters
m1:
Matrix
num:
number
Returns
Matrix
Const
tanh
Activation
tanh
Activation
(
m
:
Matrix
)
:
Matrix
Parameters
m:
Matrix
Returns
Matrix
Const
transpose
transpose
(
m
:
Matrix
)
:
Matrix
Parameters
m:
Matrix
Returns
Matrix
Modules
Computation
Computation/
Abstract
Computation
Computation/
ComputationCPU
Computation/
ComputationGPU
Computation/utils
Dataset
Dataset/
Dataset
Dataset/
Dataset
Modifier
Dataset/
Dataset
Modifier/
Abstract
Dataset
Modifier
Dataset/
Dataset
Modifier/
Callback
Dataset/
Dataset
Modifier/
Min
Max
Scaling
Dataset/
Dataset
Modifier/
Missing
Data
Dataset
Builder
Dataset
Builder/
Dataset
Builder
Dataset
Builder/
Dataset
Builder
Source
Dataset
Builder/
Dataset
Builder
Source/
Abstract
Document
Builder
Source
Dataset
Builder/
Dataset
Builder
Source/
Dataset
Builder
SourceCSV
Layer
Layer/
Abstract
Layer
Layer/
Abstract
Layer1D
Layer/
Abstract
Layer3D
Layer/
Backpropagation
Layer/
Backpropagation/
Abstract
Backpropagation
Layer/
Backpropagation/
Backpropagation1
Dto1D
Layer/
Backpropagation/
Backpropagation3
Dto1D
Layer/
Backpropagation/
Backpropagation
Factory
Layer/
Backpropagation/
Backpropagation
To
Conv
Layer/
Backpropagation/
Backpropagation
To
Max
Pool
Layer/
Conv
Layer/
Fully
Connected
Layer/
Logistic
Layer/
Max
Pool
Layer/
Purelin
Layer/
Relu
Layer/
Softmax
Layer/
Softplus
Layer/
Tanh
Math/
Matrix
Math/math
Network/
Network
Network
Builder
Network
Builder/
Abstract
Network
Builder
Network
Builder/
Network
Builder1D
Network
Builder/
Network
Builder3D
Network
Builder/types
Trainer
Trainer/
Abstract
Trainer
Trainer/
Mini
Batch
Trainer
Trainer/
Optimizer
Trainer/
Optimizer/
Abstract
Optimizer
Trainer/
Optimizer/
Optimizer
Adagrad
Trainer/
Optimizer/
Optimizer
Adam
Trainer/
Optimizer/
Optimizer
Gradient
Descent
main
types
ComputationCPU
add
add
Number
divide
Number
dot
element
Wise
Divide
element
Wise
Multiply
fill
Random
fill
Zeros
log
log
Minus
One
logistic
Activation
logistic
Backpropagation
logistic
Loss
multiply
Number
penalty
pow
purelin
Loss
relu
Activation
relu
Backpropagation
set
Ones
softplus
Activation
sqrt
subtract
subtract
From
Number
tanh
Activation
transpose
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