quantax.model.RBM_Conv#

quantax.model.RBM_Conv(channels: int, use_bias: bool = True, dtype: ~numpy.dtype = <class 'jax.numpy.float32'>)#

The restricted Boltzmann machine with one convolutional layer \(\psi(s) = \prod \cosh(\mathrm{Conv}(s))\).

Parameters:
  • features – The number of channels in the convolutional network.

  • use_bias – Whether to add on a bias in the convolution.

  • dtype – The data type of the parameters.