• namespace: Rindow\NeuralNetworks\Layer
• classname: Dense

Just your regular densely-connected Neural Networks layer.

Dense implements the operation:

• output := dot(input,kernel) + bias

Methods

constructor

$builer->Dense(
        int $units,
        array $input_shape=null,
        string|object $activation='linear',
        bool $use_bias=true,
        string|callable $kernel_initializer='glorot_uniform',
        string|callable $bias_initializer='zeros',
        string $name=null,
)

You can create a Dense layer instances with the Layer Builder.

Arguments

• units: Positive integer, dimensionality of the output space.

Options

• input_shape: Specify the first layer the shape of the input data. In input_shape, the batch dimension is not included.
• activation: Activation function. Default is nothing.
• use_bias: Whether the layer uses a bias vector. Default is true.
• kernel_initializer: name of kernel initializer
• bias_initializer: name of bias initializer

Examples

$model->add($nn->layers()->Dense(128,
    input_shape:[10],
    kernel_initializer:'he_normal',
    bias_initializer:'zeros',
));