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