python-kerasHow do I configure a dropout layer in a Keras model using Python?

A Dropout layer is a type of regularization technique used to reduce overfitting in neural networks. In Keras, a Dropout layer can be configured using the Dropout layer class. The following example code configures a Dropout layer with a dropout rate of 0.2:

from keras.layers import Dropout

model.add(Dropout(0.2))

The dropout rate is a float value between 0 and 1, which represents the fraction of the input units to drop. In this example, 0.2 represents 20% of the input units.

The list below explains the parts of the code:

• from keras.layers import Dropout: Imports the Dropout layer class from Keras.
• model.add(Dropout(0.2)): Adds a Dropout layer to the model, with a dropout rate of 0.2.

For more information, please refer to the Keras documentation.

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