--- a
+++ b/modules/RESTAPI/asyncDemo/sampleCallback.py
@@ -0,0 +1,21 @@
+# Sample file for a template for the DNNClassifierModel.py callback methods
+
+import os
+from types.arguments import Arguments
+from types.state import State
+from types.settings import Settings
+from types.features import Features
+from types.run import Run
+from types.network import Network
+
+class DNNClassifierModel:
+	network = None
+
+	def __init__(self):
+		self.network = Network()
+
+	def classifierModel(features, labels, mode, params):
+		tf.layers.dense(..., activation = self.network.arguments.activation, ...)
+		# And so on, each dynamic element's actual value, (i.e. the one to be used for computation) comes from the Network object belonging to the main model object, which the Django code
+		# will create when we start the whole thing [server] up - one model obj is created, which contains the network obj that the backend
+		# updates dynamically based on the latest request.