python-kerasHow do I use the ReLU activation function in Python with Keras?

ReLU (Rectified Linear Unit) is a popular activation function used in neural networks. It is used to add non-linearity to the network and can be used with Keras in Python.

The following example code block shows how to use ReLU with Keras:

from keras.layers import Activation

model.add(Activation('relu'))

This code adds a ReLU activation layer to the model.

The parts of the code are as follows:

• from keras.layers import Activation: This imports the Activation class from the Keras library.

• model.add(Activation('relu')): This adds an activation layer to the model. The string 'relu' is passed as an argument to specify the type of activation layer.

Helpful links

• Keras Documentation - Activation Layers
• Understanding Activation Functions in Neural Networks

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