Previous question · 871
K Nearest Neighbors Classifier
mediumML Coding
Next question · 873
London Olympic Swimmers List
easyDatabase
Random coding question
872. Backpropagation through activation
easy
Generalsenior
Function contract
Inputs
- Z
- np.ndarray
- dA
- np.ndarray
- activation
- str
Returns
- value
- np.ndarray
Examples
Input
{
"Z": [
[
2,
-1,
0
],
[
-3,
4,
1
]
],
"dA": [
[
1,
-2,
3
],
[
0.5,
1,
-1.5
]
],
"activation": "relu"
}Output
[
[
1,
0,
0
],
[
0,
1,
-1.5
]
]Input Signature
| Argument | Type |
|---|---|
| Z | np.ndarray |
| dA | np.ndarray |
| activation | str |
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
senior
entry
Tags
backpropagation
ReLU
sigmoid
numpy
Similar Questions
Linear Regressionmedium
ML CodingActivation function relueasy
ML CodingText normalizationmedium
ML Coding39 people are solving this problem
Loading editor for the selected language
Ln 1, Col 1
Program Output
DATAINTERVIEW
Interactive coding terminal
Python / NumPy environment ready.
Type a command below or run code from the editor.
run scriptExecute the current editor contents
submitGrade the current editor contents against all solution test cases
python ("print hello world")Run an isolated Python command
helpShow all available commands