AlphaDropout

neuralpy.layers.regularizers.AlphaDropout(p=0.5, name=None)

info

Alpha Dropout is mostly stable and can be used for any project. In the future, any chance of breaking changes is very low.

Applies Alpha Dropout over the input.

For more information, check this page

Supported Arguments

p=0.5: (Float) Probability of an element to be zeroed. The value should be between 0.0 and 1.0.
name=None: (String) Name of the layer, if not provided then automatically calculates a unique name for the layer

Example Code

from neuralpy.models import Sequential
from neuralpy.layers.regularizers import AlphaDropout

# Initializing the Sequential models
model = Sequential()
...
...
...

model.add(AlphaDropout(p=0.5, name="MyDropoutLayer"))

Supported Arguments
Example Code