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ReLU

Functions

relu(Z)

Compute the ReLU (Rectified Linear Unit) activation function.

Parameters:

Name Type Description Default
Z ndarray

The input array.

 required

Returns:

Type Description

numpy.ndarray: An array with the same shape as Z, containing the ReLU activation values.
Example 
Z = np.array([[-1, 0], [1, 2]])
A = relu(Z)
print(A)
Source code in microkeras/activations/relu.py 
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def relu(Z):
    """
    Compute the ReLU (Rectified Linear Unit) activation function.

    Args:
        Z (numpy.ndarray): The input array.

    Returns:
        numpy.ndarray: An array with the same shape as Z, containing the ReLU activation values.

    Example:
        ```python
        Z = np.array([[-1, 0], [1, 2]])
        A = relu(Z)
        print(A)
        ```
    """
    return np.maximum(0, Z)