The RNN-RBM sequence model is a generative model of a sequence of frames boldsymbol x^{(t)} consisting of an RNN that emits RBM parameters for each time step. This model differs from other approaches because it uses the RNN to emit all of the parameters of the RBM rather than just varying the bias parameters for each time step. The model is trained by back-propagating the gradient of the loss function through the RNN. The loss function is not applied directly to the RNN outputs, but it is applied to the RBM.