diff --git a/mloop/__init__.py b/mloop/__init__.py
index 9e53155..dd553f6 100644
--- a/mloop/__init__.py
+++ b/mloop/__init__.py
@@ -13,4 +13,4 @@
 import os
 
 __version__= "2.1.1"
-__all__ = ['controllers','interfaces','launchers','learners','testing','utilities','visualizations','cmd']
\ No newline at end of file
+__all__ = ['controllers','interfaces','launchers','learners','nnlearner','testing','utilities','visualizations','cmd']
diff --git a/mloop/learners.py b/mloop/learners.py
index 8f8038d..12f6ed5 100644
--- a/mloop/learners.py
+++ b/mloop/learners.py
@@ -1587,7 +1587,6 @@ def __init__(self,
         self.cost_has_noise = True
         self.noise_level = 1
 
-        self.neural_net_impl = NeuralNetImpl(self.num_params)
         # TODO: What are these?
         self.generation_num = 4
         if (self.default_bad_cost is None) and (self.default_bad_uncertainty is None):
@@ -1799,6 +1798,10 @@ def run(self):
         #current solution is to only log to the console for warning and above from a process
         self.log = mp.log_to_stderr(logging.WARNING)
 
+        # The network needs to be created in the same process in which it runs
+        import mloop.nnlearner as mlnn
+        self.neural_net_impl = mlnn.NeuralNetImpl(self.num_params)
+
         try:
             while not self.end_event.is_set():
                 self.log.debug('Learner waiting for new params event')
diff --git a/mloop/nnlearner.py b/mloop/nnlearner.py
index 56debd2..14b612e 100644
--- a/mloop/nnlearner.py
+++ b/mloop/nnlearner.py
@@ -7,6 +7,8 @@ class NeuralNetImpl():
     '''
     Neural network implementation.
 
+    This must run in the same process in which it's created.
+
     Args:
         num_params (int): The number of params.
     '''