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David B.
Data viz engineer | twitter.com/dbumbeishvili
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Published
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David B.
Edited
Apr 28, 2018
2 stars
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tf
=
require
(
'@tensorflow/tfjs'
)
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{
const
shape
=
[
2
,
3
]
;
// 2 row, 3 column
const
a
=
tf
.
tensor
(
[
1
,
2
,
3
,
10
,
20
,
30
]
,
shape
)
// return a.toString()
const
b
=
tf
.
tensor
(
[
[
1.0
,
2.0
,
3.0
]
,
[
10.0
,
20.0
,
30.0
]
]
)
;
// return b.toString();
const
c
=
tf
.
tensor2d
(
[
[
1
,
2
,
3
]
,
[
10
,
20
,
30
]
]
)
;
// return c.toString()
const
zeros
=
tf
.
zeros
(
[
3
,
5
]
)
return
zeros
.
toString
(
)
;
}
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{
const
initialValues
=
tf
.
zeros
(
[
5
]
)
;
const
biases
=
tf
.
variable
(
initialValues
)
const
updatedValues
=
tf
.
tensor1d
(
[
0
,
1
,
0
,
1
,
0
]
)
;
biases
.
assign
(
updatedValues
)
;
return
biases
.
toString
(
)
;
}
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//square
{
const
d
=
tf
.
tensor2d
(
[
[
1
,
2
]
,
[
3
,
4
]
]
)
;
const
d_squared
=
d
.
square
(
)
;
return
d_squared
.
toString
(
)
;
}
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// Binary operations
{
const
e
=
tf
.
tensor2d
(
[
[
1
,
2
]
,
[
3
,
4
]
]
)
;
const
f
=
tf
.
tensor2d
(
[
[
5
,
6
]
,
[
7
,
8
]
]
)
;
const
e_plus_f
=
e
.
add
(
f
)
;
return
e_plus_f
.
toString
(
)
;
}
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// chainable api
{
const
e
=
tf
.
tensor2d
(
[
[
1
,
2
]
,
[
3
,
4
]
]
)
;
const
f
=
tf
.
tensor2d
(
[
[
5
,
6
]
,
[
7
,
8
]
]
)
;
const
sq_sum
=
e
.
add
(
f
)
.
square
(
)
;
return
sq_sum
.
toString
(
)
}
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{
function
predict
(
input
)
{
// y = a*x^2+b*x+c
return
tf
.
tidy
(
(
)
=>
{
const
x
=
tf
.
scalar
(
input
)
;
// 2
const
ax2
=
a
.
mul
(
x
.
square
(
)
)
;
// 4 * 2 = 8
const
bx
=
b
.
mul
(
x
)
;
// 4 * 2 = 8;
const
y
=
ax2
.
add
(
bx
)
.
add
(
c
)
;
// 8 + 8 + 8 = 24
return
y
;
}
)
;
}
const
a
=
tf
.
scalar
(
2
)
;
const
b
=
tf
.
scalar
(
4
)
;
const
c
=
tf
.
scalar
(
8
)
;
const
result
=
predict
(
2
)
;
return
result
.
toString
(
)
}
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{
const
x
=
tf
.
tensor2d
(
[
[
0
,
2
]
,
[
4
,
6
]
]
)
;
const
x_squared
=
x
.
square
(
)
;
x
.
dispose
(
)
;
x_squared
.
dispose
(
)
;
}
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{
const
average
=
tf
.
tidy
(
(
)
=>
{
const
y
=
tf
.
tensor1d
(
[
1
,
2
,
3
,
4
]
)
;
const
z
=
tf
.
ones
(
[
4
]
)
return
y
.
sub
(
z
)
.
square
(
)
.
mean
(
)
;
}
)
return
average
.
toString
(
)
;
}
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