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.
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