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Dense Class

Represents a dense (fully connected) layer in a neural network.

Attributes:

Name Type Description
units int

The number of neurons in the layer.
activation str or None

The activation function to use.
input_shape int or tuple

The shape of the input to this layer.
Example 
# Create a dense layer with 64 units and ReLU activation
layer = Dense(64, activation='relu', input_shape=(128,))

# Build the layer
layer.build(input_shape=(128,))

# Use the layer in a model
x = np.random.randn(32, 128)  # Batch of 32 samples
output = layer.forward(x)
print(output.shape)  # Output: (32, 64)
Source code in microkeras/layers/dense/dense.py 
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class Dense:
    """
    Represents a dense (fully connected) layer in a neural network.

    Attributes:
        units (int): The number of neurons in the layer.
        activation (str or None): The activation function to use.
        input_shape (int or tuple): The shape of the input to this layer.

    Example:
        ```python
        # Create a dense layer with 64 units and ReLU activation
        layer = Dense(64, activation='relu', input_shape=(128,))

        # Build the layer
        layer.build(input_shape=(128,))

        # Use the layer in a model
        x = np.random.randn(32, 128)  # Batch of 32 samples
        output = layer.forward(x)
        print(output.shape)  # Output: (32, 64)
        ```
    """
    def __init__(self, units, activation=None, input_shape=None):
        """
        Initialize the dense layer.

        Args:
            units (int): The number of neurons in the layer.
            activation (str or None): The activation function to use. Default is None.
            input_shape (int or tuple): The shape of the input to this layer. Default is None.
        """
        initialize(self, units, activation, input_shape)

    build = build
    copy = copy

Functions

__init__(units, activation=None, input_shape=None)

Initialize the dense layer.

Parameters:

Name Type Description Default
units int

The number of neurons in the layer.

 required
activation str or None

The activation function to use. Default is None.

 None
input_shape int or tuple

The shape of the input to this layer. Default is None.

 None
Source code in microkeras/layers/dense/dense.py 
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def __init__(self, units, activation=None, input_shape=None):
    """
    Initialize the dense layer.

    Args:
        units (int): The number of neurons in the layer.
        activation (str or None): The activation function to use. Default is None.
        input_shape (int or tuple): The shape of the input to this layer. Default is None.
    """
    initialize(self, units, activation, input_shape)