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305. Pooling operations
medium
Generalstaff
Function contract
Inputs
- mode
- str
- image
- np.ndarray
- stride
- list
- kernel_size
- list
Returns
- value
- np.ndarray
Examples
Input
{
"mode": "max",
"image": [
[
1,
3,
2,
0
],
[
4,
6,
5,
1
],
[
7,
2,
8,
3
],
[
0,
1,
2,
9
]
],
"stride": [
2,
2
],
"kernel_size": [
2,
2
]
}Output
[
[
6,
5
],
[
7,
9
]
]Input Signature
| Argument | Type |
|---|---|
| mode | str |
| image | np.ndarray |
| stride | list |
| kernel_size | list |
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
numpy-slicing
2d-pooling
sliding-window
computer-vision
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