smash.factory.Net.get_bias#
- Net.get_bias()[source]#
Get the biases of the trainable layers of the neural network
Net.- Returns:
- valuelist[
numpy.ndarray] A list of numpy arrays containing the biases of the trainable layers.
- valuelist[
See also
Net.set_biasSet the values of the bias in the neural network
Net.
Examples
>>> from smash.factory import Net >>> net = Net() >>> net.add_dense(2, input_shape=3, bias_initializer="normal") >>> net +----------------------------------------------------------+ | Layer Type Input/Output Shape Num Parameters | +----------------------------------------------------------+ | Dense (3,)/(2,) 8 | +----------------------------------------------------------+ Total parameters: 8 Trainable parameters: 8
Set random biases
>>> net.set_bias(random_state=0)
Get the bias values
>>> net.get_bias() [array([[0.01764052, 0.00400157]])]