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943. Gradient checking
medium
Generalstaff
Function contract
Inputs
- W
- np.ndarray
- X
- np.ndarray
- b
- np.ndarray
- y
- np.ndarray
- eps
- float
Returns
- value
- np.ndarray
Examples
Input
{
"W": [
[
0.05
],
[
-0.02
]
],
"X": [
[
0.2,
-0.1
],
[
1,
0.3
]
],
"b": [
0.01
],
"y": [
1,
0
],
"eps": 0.00001
}Output
[
[
1.500700975752376e-11
],
[
3.0337533077315667e-11
]
]Input Signature
| Argument | Type |
|---|---|
| W | np.ndarray |
| X | np.ndarray |
| b | np.ndarray |
| y | np.ndarray |
| eps | float |
Output Signature
| Return Name | Type |
|---|---|
| value | np.ndarray |
Constraints
Hint 1
Hint 2
Hint 3
Roles
ML Engineer
AI Engineer
Data Scientist
Research Scientist
Companies
GeneralLevels
staff
senior
entry
Tags
gradient-checking
finite-differences
backpropagation
binary-cross-entropy
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