mirror of
https://github.com/TheAlgorithms/Python.git
synced 2025-02-25 10:28:39 +00:00
Formatting and spelling fixes done
This commit is contained in:
parent
037b05d431
commit
1f84b1c07e
@ -1,16 +1,9 @@
|
||||
"""
|
||||
Leaky Rectified Linear Unit (LeakyReLU)
|
||||
Leaky Rectified Linear Unit (Leaky ReLU)
|
||||
|
||||
Input: vector (type: np.ndarray) , alpha (type: float)
|
||||
Output: vector (type: np.ndarray)
|
||||
|
||||
UseCase: LeakyReLU solves the issue of dead neurons or vanishing gradient problem.
|
||||
Refer the below link for more information:
|
||||
Use Case: Leaky ReLU addresses the problem of the vanishing gradient.
|
||||
For more detailed information, you can refer to the following link:
|
||||
https://en.wikipedia.org/wiki/Rectifier_(neural_networks)#Leaky_ReLU
|
||||
|
||||
Applications:
|
||||
Generative Adversarial Networks (GANs)
|
||||
Object Detection and Image Segmentation
|
||||
"""
|
||||
|
||||
import numpy as np
|
||||
@ -33,8 +26,7 @@ def leaky_rectified_linear_unit(vector: np.ndarray, alpha: float) -> np.ndarray:
|
||||
>>> leaky_rectified_linear_unit(vector=np.array([2.3,0.6,-2,-3.8]), alpha=0.3)
|
||||
array([ 2.3 , 0.6 , -0.6 , -1.14])
|
||||
|
||||
>>> leaky_rectified_linear_unit(vector=np.array([-9.2,-0.3,0.45,-4.56]), \
|
||||
alpha=0.067)
|
||||
>>> leaky_rectified_linear_unit(np.array([-9.2, -0.3, 0.45, -4.56]), alpha=0.067)
|
||||
array([-0.6164 , -0.0201 , 0.45 , -0.30552])
|
||||
|
||||
"""
|
||||
|
Loading…
x
Reference in New Issue
Block a user