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Calculate DB Wrapper Method

Functions

calculate_db_wrapper(model, i, m)

Wrapper function to calculate the gradient of the bias for a specific layer.

Parameters:

Name Type Description Default
model Sequential

The neural network model.

 required
i int

Index of the current layer.

 required
m int

Number of training examples.

 required

Returns:

Type Description

numpy.ndarray: Gradient of the bias for the specified layer.
Example 
db = calculate_db_wrapper(model, 1, 32)
print(db.shape)
Source code in microkeras/operations/backward/calculate_db_wrapper.py 
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def calculate_db_wrapper(model, i, m):
    """
    Wrapper function to calculate the gradient of the bias for a specific layer.

    Args:
        model (Sequential): The neural network model.
        i (int): Index of the current layer.
        m (int): Number of training examples.

    Returns:
        numpy.ndarray: Gradient of the bias for the specified layer.

    Example:
        ```python
        db = calculate_db_wrapper(model, 1, 32)
        print(db.shape)
        ```
    """
    return calculate_db(model.layers[i].dZ, m)