quantax.model.SingleDense#

quantax.model.SingleDense(features: int, actfn: ~typing.Callable, use_bias: bool = True, holomorphic: bool = False, dtype: ~numpy.dtype = <class 'jax.numpy.float32'>)#

Network with one dense layer \(\psi(s) = \prod f(W s + b)\).

Parameters:
  • features – The number of output features or hidden units.

  • actfn – The activation function applied after the dense layer.

  • use_bias – Whether to add on a bias.

  • holomorphic – Whether the whole network is complex holomorphic.

  • dtype – The data type of the parameters.