python-kerasHow do I use Keras activation functions in Python?

Keras provides a variety of activation functions that can be used in neural networks. Activation functions are used to introduce non-linearity into the network. In Python, you can use Keras activation functions by first importing the Keras library and then calling the activation function on a layer. For example:

from keras.layers import Activation

model.add(Activation('relu'))

This adds a ReLU activation function to the model. Other activation functions, such as sigmoid, tanh, softmax, etc., can be used in the same way.

The parts of the code are as follows:

1. from keras.layers import Activation: imports the Activation class from the Keras library.
2. model.add(Activation('relu')): adds a ReLU activation function to the model.

Helpful links

• Keras Activation Functions
• Understanding Activation Functions in Neural Networks

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