separate processes running at the same time one of them is called the positive phase where you load data into the model and tell the model to make the data more likely the owners called the negative phase where you draw samples from the model and tell the model to make those samples less likely in a deep Bolton machine it's not trivial to generate a sample you have to actually run an iterative process that gets better and better samples coming closer and closer to the distribution the model represents so during the training process you're