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Jacky Lin
CSCI308-GOLANG
Commits
3b51c61f
Commit
3b51c61f
authored
Feb 21, 2021
by
Jacky Lin
Browse files
add source file
parent
577f3b16
Changes
7
Hide whitespace changes
Inline
Side-by-side
Phase3-Program/py-v/fileHandler.go
deleted
100644 → 0
View file @
577f3b16
package
main
import
(
"fmt"
"image"
"image/png"
"os"
)
func
save
(
net
NNetwork
)
{
h
,
err
:=
os
.
Create
(
"data/hweights.model"
)
defer
h
.
Close
()
if
err
==
nil
{
net
.
hiddenWeights
.
MarshalBinaryTo
(
h
)
}
o
,
err
:=
os
.
Create
(
"data/oweights.model"
)
defer
o
.
Close
()
if
err
==
nil
{
net
.
outputWeights
.
MarshalBinaryTo
(
o
)
}
}
// load a neural network from file
func
load
(
net
*
NNetwork
)
{
h
,
err
:=
os
.
Open
(
"data/hweights.model"
)
defer
h
.
Close
()
if
err
==
nil
{
net
.
hiddenWeights
.
Reset
()
net
.
hiddenWeights
.
UnmarshalBinaryFrom
(
h
)
}
o
,
err
:=
os
.
Open
(
"data/oweights.model"
)
defer
o
.
Close
()
if
err
==
nil
{
net
.
outputWeights
.
Reset
()
net
.
outputWeights
.
UnmarshalBinaryFrom
(
o
)
}
return
}
// predict a number from an image
// image should be 28 x 28 PNG file
func
predictFromImage
(
net
NNetwork
,
path
string
)
int
{
input
:=
dataFromImage
(
path
)
output
:=
net
.
Predicate
(
input
)
matrixPrint
(
output
)
best
:=
0
highest
:=
0.0
for
i
:=
0
;
i
<
net
.
outputs
;
i
++
{
if
output
.
At
(
i
,
0
)
>
highest
{
best
=
i
highest
=
output
.
At
(
i
,
0
)
}
}
return
best
}
// get the pixel data from an image
func
dataFromImage
(
filePath
string
)
(
pixels
[]
float64
)
{
// read the file
imgFile
,
err
:=
os
.
Open
(
filePath
)
defer
imgFile
.
Close
()
if
err
!=
nil
{
fmt
.
Println
(
"Cannot read file:"
,
err
)
}
img
,
err
:=
png
.
Decode
(
imgFile
)
if
err
!=
nil
{
fmt
.
Println
(
"Cannot decode file:"
,
err
)
}
// create a grayscale image
bounds
:=
img
.
Bounds
()
gray
:=
image
.
NewGray
(
bounds
)
for
x
:=
0
;
x
<
bounds
.
Max
.
X
;
x
++
{
for
y
:=
0
;
y
<
bounds
.
Max
.
Y
;
y
++
{
var
rgba
=
img
.
At
(
x
,
y
)
gray
.
Set
(
x
,
y
,
rgba
)
}
}
// make a pixel array
pixels
=
make
([]
float64
,
len
(
gray
.
Pix
))
// populate the pixel array subtract Pix from 255 because that's how
// the MNIST database was trained (in reverse)
for
i
:=
0
;
i
<
len
(
gray
.
Pix
);
i
++
{
pixels
[
i
]
=
(
float64
(
255
-
gray
.
Pix
[
i
])
/
255.0
*
0.999
)
+
0.001
}
return
}
Phase3-Program/py-v/go.mod
deleted
100644 → 0
View file @
577f3b16
module main
go 1.16
require (
golang.org/x/exp v0.0.0-20210220032938-85be41e4509f // indirect
golang.org/x/tools v0.1.0 // indirect
gonum.org/v1/gonum v0.8.2 // indirect
)
Phase3-Program/py-v/go.sum
deleted
100644 → 0
View file @
577f3b16
dmitri.shuralyov.com/gpu/mtl v0.0.0-20201218220906-28db891af037/go.mod h1:H6x//7gZCb22OMCxBHrMx7a5I7Hp++hsVxbQ4BYO7hU=
github.com/BurntSushi/xgb v0.0.0-20160522181843-27f122750802/go.mod h1:IVnqGOEym/WlBOVXweHU+Q+/VP0lqqI8lqeDx9IjBqo=
github.com/ajstarks/svgo v0.0.0-20180226025133-644b8db467af/go.mod h1:K08gAheRH3/J6wwsYMMT4xOr94bZjxIelGM0+d/wbFw=
github.com/fogleman/gg v1.2.1-0.20190220221249-0403632d5b90/go.mod h1:R/bRT+9gY/C5z7JzPU0zXsXHKM4/ayA+zqcVNZzPa1k=
github.com/go-gl/glfw/v3.3/glfw v0.0.0-20200222043503-6f7a984d4dc4/go.mod h1:tQ2UAYgL5IevRw8kRxooKSPJfGvJ9fJQFa0TUsXzTg8=
github.com/golang/freetype v0.0.0-20170609003504-e2365dfdc4a0/go.mod h1:E/TSTwGwJL78qG/PmXZO1EjYhfJinVAhrmmHX6Z8B9k=
github.com/jung-kurt/gofpdf v1.0.3-0.20190309125859-24315acbbda5/go.mod h1:7Id9E/uU8ce6rXgefFLlgrJj/GYY22cpxn+r32jIOes=
github.com/yuin/goldmark v1.2.1/go.mod h1:3hX8gzYuyVAZsxl0MRgGTJEmQBFcNTphYh9decYSb74=
golang.org/x/crypto v0.0.0-20190308221718-c2843e01d9a2/go.mod h1:djNgcEr1/C05ACkg1iLfiJU5Ep61QUkGW8qpdssI0+w=
golang.org/x/crypto v0.0.0-20190510104115-cbcb75029529/go.mod h1:yigFU9vqHzYiE8UmvKecakEJjdnWj3jj499lnFckfCI=
golang.org/x/crypto v0.0.0-20191011191535-87dc89f01550/go.mod h1:yigFU9vqHzYiE8UmvKecakEJjdnWj3jj499lnFckfCI=
golang.org/x/crypto v0.0.0-20200622213623-75b288015ac9/go.mod h1:LzIPMQfyMNhhGPhUkYOs5KpL4U8rLKemX1yGLhDgUto=
golang.org/x/exp v0.0.0-20180321215751-8460e604b9de/go.mod h1:CJ0aWSM057203Lf6IL+f9T1iT9GByDxfZKAQTCR3kQA=
golang.org/x/exp v0.0.0-20180807140117-3d87b88a115f/go.mod h1:CJ0aWSM057203Lf6IL+f9T1iT9GByDxfZKAQTCR3kQA=
golang.org/x/exp v0.0.0-20190125153040-c74c464bbbf2/go.mod h1:CJ0aWSM057203Lf6IL+f9T1iT9GByDxfZKAQTCR3kQA=
golang.org/x/exp v0.0.0-20190731235908-ec7cb31e5a56/go.mod h1:JhuoJpWY28nO4Vef9tZUw9qufEGTyX1+7lmHxV5q5G4=
golang.org/x/exp v0.0.0-20210220032938-85be41e4509f h1:GrkO5AtFUU9U/1f5ctbIBXtBGeSJbWwIYfIsTcFMaX4=
golang.org/x/exp v0.0.0-20210220032938-85be41e4509f/go.mod h1:I6l2HNBLBZEcrOoCpyKLdY2lHoRZ8lI4x60KMCQDft4=
golang.org/x/image v0.0.0-20180708004352-c73c2afc3b81/go.mod h1:ux5Hcp/YLpHSI86hEcLt0YII63i6oz57MZXIpbrjZUs=
golang.org/x/image v0.0.0-20190227222117-0694c2d4d067/go.mod h1:kZ7UVZpmo3dzQBMxlp+ypCbDeSB+sBbTgSJuh5dn5js=
golang.org/x/image v0.0.0-20190802002840-cff245a6509b/go.mod h1:FeLwcggjj3mMvU+oOTbSwawSJRM1uh48EjtB4UJZlP0=
golang.org/x/mobile v0.0.0-20190312151609-d3739f865fa6/go.mod h1:z+o9i4GpDbdi3rU15maQ/Ox0txvL9dWGYEHz965HBQE=
golang.org/x/mobile v0.0.0-20201217150744-e6ae53a27f4f/go.mod h1:skQtrUTUwhdJvXM/2KKJzY8pDgNr9I/FOMqDVRPBUS4=
golang.org/x/mod v0.1.0/go.mod h1:0QHyrYULN0/3qlju5TqG8bIK38QM8yzMo5ekMj3DlcY=
golang.org/x/mod v0.1.1-0.20191105210325-c90efee705ee/go.mod h1:QqPTAvyqsEbceGzBzNggFXnrqF1CaUcvgkdR5Ot7KZg=
golang.org/x/mod v0.1.1-0.20191209134235-331c550502dd/go.mod h1:s0Qsj1ACt9ePp/hMypM3fl4fZqREWJwdYDEqhRiZZUA=
golang.org/x/mod v0.3.0/go.mod h1:s0Qsj1ACt9ePp/hMypM3fl4fZqREWJwdYDEqhRiZZUA=
golang.org/x/mod v0.3.1-0.20200828183125-ce943fd02449/go.mod h1:s0Qsj1ACt9ePp/hMypM3fl4fZqREWJwdYDEqhRiZZUA=
golang.org/x/net v0.0.0-20190311183353-d8887717615a/go.mod h1:t9HGtf8HONx5eT2rtn7q6eTqICYqUVnKs3thJo3Qplg=
golang.org/x/net v0.0.0-20190404232315-eb5bcb51f2a3/go.mod h1:t9HGtf8HONx5eT2rtn7q6eTqICYqUVnKs3thJo3Qplg=
golang.org/x/net v0.0.0-20190620200207-3b0461eec859/go.mod h1:z5CRVTTTmAJ677TzLLGU+0bjPO0LkuOLi4/5GtJWs/s=
golang.org/x/net v0.0.0-20201021035429-f5854403a974/go.mod h1:sp8m0HH+o8qH0wwXwYZr8TS3Oi6o0r6Gce1SSxlDquU=
golang.org/x/sync v0.0.0-20190423024810-112230192c58/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
golang.org/x/sync v0.0.0-20201020160332-67f06af15bc9/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
golang.org/x/sys v0.0.0-20190215142949-d0b11bdaac8a/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
golang.org/x/sys v0.0.0-20190412213103-97732733099d/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/sys v0.0.0-20191001151750-bb3f8db39f24/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/sys v0.0.0-20200930185726-fdedc70b468f/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/sys v0.0.0-20210119212857-b64e53b001e4/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
golang.org/x/text v0.3.0/go.mod h1:NqM8EUOU14njkJ3fqMW+pc6Ldnwhi/IjpwHt7yyuwOQ=
golang.org/x/text v0.3.3/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
golang.org/x/tools v0.0.0-20180525024113-a5b4c53f6e8b/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
golang.org/x/tools v0.0.0-20180917221912-90fa682c2a6e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
golang.org/x/tools v0.0.0-20190206041539-40960b6deb8e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
golang.org/x/tools v0.0.0-20190312151545-0bb0c0a6e846/go.mod h1:LCzVGOaR6xXOjkQ3onu1FJEFr0SW1gC7cKk1uF8kGRs=
golang.org/x/tools v0.0.0-20191119224855-298f0cb1881e/go.mod h1:b+2E5dAYhXwXZwtnZ6UAqBI28+e2cm9otk0dWdXHAEo=
golang.org/x/tools v0.0.0-20200117012304-6edc0a871e69/go.mod h1:TB2adYChydJhpapKDTa4BR/hXlZSLoq2Wpct/0txZ28=
golang.org/x/tools v0.0.0-20200207183749-b753a1ba74fa/go.mod h1:TB2adYChydJhpapKDTa4BR/hXlZSLoq2Wpct/0txZ28=
golang.org/x/tools v0.1.0 h1:po9/4sTYwZU9lPhi1tOrb4hCv3qrhiQ77LZfGa2OjwY=
golang.org/x/tools v0.1.0/go.mod h1:xkSsbof2nBLbhDlRMhhhyNLN/zl3eTqcnHD5viDpcZ0=
golang.org/x/xerrors v0.0.0-20190717185122-a985d3407aa7/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
golang.org/x/xerrors v0.0.0-20191011141410-1b5146add898/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
gonum.org/v1/gonum v0.0.0-20180816165407-929014505bf4/go.mod h1:Y+Yx5eoAFn32cQvJDxZx5Dpnq+c3wtXuadVZAcxbbBo=
gonum.org/v1/gonum v0.8.2 h1:CCXrcPKiGGotvnN6jfUsKk4rRqm7q09/YbKb5xCEvtM=
gonum.org/v1/gonum v0.8.2/go.mod h1:oe/vMfY3deqTw+1EZJhuvEW2iwGF1bW9wwu7XCu0+v0=
gonum.org/v1/netlib v0.0.0-20190313105609-8cb42192e0e0/go.mod h1:wa6Ws7BG/ESfp6dHfk7C6KdzKA7wR7u/rKwOGE66zvw=
gonum.org/v1/plot v0.0.0-20190515093506-e2840ee46a6b/go.mod h1:Wt8AAjI+ypCyYX3nZBvf6cAIx93T+c/OS2HFAYskSZc=
rsc.io/pdf v0.1.1/go.mod h1:n8OzWcQ6Sp37PL01nO98y4iUCRdTGarVfzxY20ICaU4=
Phase3-Program/py-v/helper.go
deleted
100644 → 0
View file @
577f3b16
package
main
import
(
"fmt"
"math"
"gonum.org/v1/gonum/distuv"
"gonum.org/v1/gonum/mat"
)
/* -- Matrix Operation -- */
func
dot
(
m
,
n
mat
.
Matrix
)
mat
.
Matrix
{
r
,
_
:=
m
.
Dims
()
_
,
c
:=
n
.
Dims
()
o
:=
mat
.
NewDense
(
r
,
c
,
nil
)
o
.
Product
(
m
,
n
)
return
o
}
func
apply
(
fn
func
(
i
,
j
int
,
v
float64
)
float64
,
m
mat
.
Matrix
)
mat
.
Matrix
{
r
,
c
:=
m
.
Dims
()
o
:=
mat
.
NewDense
(
r
,
c
,
nil
)
o
.
Apply
(
fn
,
m
)
return
o
}
func
scale
(
s
float64
,
m
mat
.
Matrix
)
mat
.
Matrix
{
r
,
c
:=
m
.
Dims
()
o
:=
mat
.
NewDense
(
r
,
c
,
nil
)
o
.
Scale
(
s
,
m
)
return
o
}
func
multiply
(
m
,
n
mat
.
Matrix
)
mat
.
Matrix
{
r
,
c
:=
m
.
Dims
()
o
:=
mat
.
NewDense
(
r
,
c
,
nil
)
o
.
MulElem
(
m
,
n
)
return
o
}
func
add
(
m
,
n
mat
.
Matrix
)
mat
.
Matrix
{
r
,
c
:=
m
.
Dims
()
o
:=
mat
.
NewDense
(
r
,
c
,
nil
)
o
.
Add
(
m
,
n
)
return
o
}
func
subtract
(
m
,
n
mat
.
Matrix
)
mat
.
Matrix
{
r
,
c
:=
m
.
Dims
()
o
:=
mat
.
NewDense
(
r
,
c
,
nil
)
o
.
Sub
(
m
,
n
)
return
o
}
func
addScalar
(
i
float64
,
m
mat
.
Matrix
)
mat
.
Matrix
{
r
,
c
:=
m
.
Dims
()
a
:=
make
([]
float64
,
r
*
c
)
for
x
:=
0
;
x
<
r
*
c
;
x
++
{
a
[
x
]
=
i
}
n
:=
mat
.
NewDense
(
r
,
c
,
a
)
return
add
(
m
,
n
)
}
func
randomArray
(
size
int
,
v
float64
)
(
data
[]
float64
)
{
dist
:=
distuv
.
Uniform
{
Min
:
-
1
/
math
.
Sqrt
(
v
),
Max
:
1
/
math
.
Sqrt
(
v
),
}
data
=
make
([]
float64
,
size
)
for
i
:=
0
;
i
<
size
;
i
++
{
data
[
i
]
=
dist
.
Rand
()
}
return
}
/* -- Sigmoid function -- */
func
sigmoid
(
r
,
c
int
,
z
float64
)
float64
{
return
1.0
/
(
1
+
math
.
Exp
(
-
1
*
z
))
}
func
sigmoidPrime
(
m
mat
.
Matrix
)
mat
.
Matrix
{
rows
,
_
:=
m
.
Dims
()
o
:=
make
([]
float64
,
rows
)
for
i
:=
range
o
{
o
[
i
]
=
1
}
ones
:=
mat
.
NewDense
(
rows
,
1
,
o
)
return
multiply
(
m
,
subtract
(
ones
,
m
))
// m * (1 - m)
}
// pretty print a Gonum matrix
func
matrixPrint
(
X
mat
.
Matrix
)
{
fa
:=
mat
.
Formatted
(
X
,
mat
.
Prefix
(
""
),
mat
.
Squeeze
())
fmt
.
Printf
(
"%v
\n
"
,
fa
)
}
Phase3-Program/py-v/network.go
deleted
100644 → 0
View file @
577f3b16
package
main
import
(
"gonum.org/v1/gonum/mat"
)
// NNetwork is the struct of neural network
type
NNetwork
struct
{
inputs
int
hiddens
int
outputs
int
hiddenWeights
*
mat
.
Dense
outputWeights
*
mat
.
Dense
learningRate
float64
}
// CreateNetwork initialize function of create a neural network
func
CreateNetwork
(
input
,
hidden
,
output
int
,
rate
float64
)
(
net
NNetwork
)
{
net
=
NNetwork
{
inputs
:
input
,
hiddens
:
hidden
,
outputs
:
output
,
learningRate
:
rate
,
}
net
.
hiddenWeights
=
mat
.
NewDense
(
net
.
hiddens
,
net
.
inputs
,
randomArray
(
net
.
inputs
*
net
.
hiddens
,
float64
(
net
.
inputs
)))
net
.
outputWeights
=
mat
.
NewDense
(
net
.
outputs
,
net
.
hiddens
,
randomArray
(
net
.
hiddens
*
net
.
outputs
,
float64
(
net
.
hiddens
)))
return
}
// Predicate predict the input data using an forward propagation
func
(
net
NNetwork
)
Predicate
(
inputData
[]
float64
)
mat
.
Matrix
{
// forward propagation
inputs
:=
mat
.
NewDense
(
len
(
inputData
),
1
,
inputData
)
hiddenInputs
:=
dot
(
net
.
hiddenWeights
,
inputs
)
hiddenOutputs
:=
apply
(
sigmoid
,
hiddenInputs
)
finalInputs
:=
dot
(
net
.
outputWeights
,
hiddenOutputs
)
finalOutputs
:=
apply
(
sigmoid
,
finalInputs
)
return
finalOutputs
}
// Train the neural network
func
(
net
*
NNetwork
)
Train
(
inputData
[]
float64
,
targetData
[]
float64
)
{
// feedforward
inputs
:=
mat
.
NewDense
(
len
(
inputData
),
1
,
inputData
)
hiddenInputs
:=
dot
(
net
.
hiddenWeights
,
inputs
)
hiddenOutputs
:=
apply
(
sigmoid
,
hiddenInputs
)
finalInputs
:=
dot
(
net
.
outputWeights
,
hiddenOutputs
)
finalOutputs
:=
apply
(
sigmoid
,
finalInputs
)
// find errors
targets
:=
mat
.
NewDense
(
len
(
targetData
),
1
,
targetData
)
outputErrors
:=
subtract
(
targets
,
finalOutputs
)
hiddenErrors
:=
dot
(
net
.
outputWeights
.
T
(),
outputErrors
)
// backpropagate
net
.
outputWeights
=
add
(
net
.
outputWeights
,
scale
(
net
.
learningRate
,
dot
(
multiply
(
outputErrors
,
sigmoidPrime
(
finalOutputs
)),
hiddenOutputs
.
T
())))
.
(
*
mat
.
Dense
)
net
.
hiddenWeights
=
add
(
net
.
hiddenWeights
,
scale
(
net
.
learningRate
,
dot
(
multiply
(
hiddenErrors
,
sigmoidPrime
(
hiddenOutputs
)),
inputs
.
T
())))
.
(
*
mat
.
Dense
)
}
Phase3-Program/py-v/run.go
deleted
100644 → 0
View file @
577f3b16
package
main
func
main
()
{
s
:=
[]
int
{
2
,
2
,
3
}
nw
:=
CreateNetwork
(
s
)
}
Phase3-Program/py-v/utils.go
deleted
100644 → 0
View file @
577f3b16
package
main
import
(
"fmt"
"math"
"math/rand"
)
type
Network
struct
{
NumLayer
int
Sizes
[]
int
Bias
[]
float64
Weight
[]
float64
}
func
NewNetwork
(
sizes
[]
int
)
(
*
Network
,
error
)
{
if
len
(
size
)
<
2
{
return
nil
,
fmt
.
Errorf
(
"must have at least two layer of network"
)
}
Bias
:=
[][]
float64
{}
for
_
,
size
:=
range
sizes
{
}
n
:=
&
Network
{
NumLayer
:
len
(
sizes
),
Sizes
:
sizes
,
Bias
:
randomArray
(
len
(
sizes
)),
Weight
:
randomArray
(
len
(
sizes
)),
}
return
n
,
nil
}
func
randomArray
(
size
int
)
[]
float64
{
arr
:=
make
([]
float64
,
size
)
for
i
:=
0
;
i
<
size
;
i
++
{
arr
[
i
]
=
rand
.
Float64
()
}
return
arr
}
/*
func (n *Network) feedForward(in []int) {
return nil
}*/
// Basic Function
func
sigmoid
(
x
float64
)
float64
{
return
1.0
/
(
1.0
+
math
.
Exp
(
x
))
}
func
sigmoidDeri
(
x
float64
)
float64
{
return
sigmoid
(
x
)
*
(
1
-
sigmoid
(
x
))
}
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