python-kerasHow do I use the Keras Dense Activation function in Python?

The Keras Dense Activation function is a powerful tool for building neural networks in Python. It is a layer that takes the input from the previous layer and applies an activation function to it.

The syntax for using the Keras Dense Activation function is as follows:

from keras.layers import Dense

# Create a layer
layer = Dense(units=64, activation='relu')

The units parameter specifies the number of neurons in the layer, and the activation parameter specifies the activation function to be applied to the output of the layer. In the example above, the activation function is relu.

Code explanation

1. from keras.layers import Dense: This imports the Dense layer class from the Keras library.
2. layer = Dense(units=64, activation='relu'): This creates a Dense layer with 64 neurons and a relu activation function applied to the output.

Helpful links

• Keras Documentation - Dense Layer
• Keras Documentation - Activation Functions

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