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Calculate A Method

Functions

calculate_A(Z, activation)

Calculate the activation output for a given input and activation function.

Parameters:

Name Type Description Default
Z ndarray

The input to the activation function.

 required
activation str

The name of the activation function to use.

 required

Returns:

Type Description

numpy.ndarray: The output after applying the activation function.
Example 
Z = np.array([[1, 2], [3, 4]])
A = calculate_A(Z, 'sigmoid')
print(A.shape)
Source code in microkeras/operations/forward/calculate_A.py 
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def calculate_A(Z, activation):
    """
    Calculate the activation output for a given input and activation function.

    Args:
        Z (numpy.ndarray): The input to the activation function.
        activation (str): The name of the activation function to use.

    Returns:
        numpy.ndarray: The output after applying the activation function.

    Example:
        ```python
        Z = np.array([[1, 2], [3, 4]])
        A = calculate_A(Z, 'sigmoid')
        print(A.shape)
        ```
    """
    if activation == 'sigmoid':
        return sigmoid(Z)
    elif activation == 'softmax':
        return softmax(Z)
    elif activation == 'relu':
        return relu(Z)
    elif activation == 'linear':
        return linear(Z)