Function dense

Functional interface for the densely-connected layer. This layer implements the operation: `outputs = activation(inputs * kernel + bias)` where `activation` is the activation function passed as the `activation` argument (if not `None`), `kernel` is a weights matrix created by the layer, a

(
    inputs, units,
    activation=None,
    use_bias=True,
    kernel_initializer=None,
    bias_initializer=init_ops.zeros_initializer(),
    kernel_regularizer=None,
    bias_regularizer=None,
    activity_regularizer=None,
    kernel_constraint=None,
    bias_constraint=None,
    trainable=True,
    name=None,
    reuse=None)