More work on the paper

papers.txt

@@ -24,3 +24,6 @@ Non papers, industry resources:
 	- Cache invalidation: https://dl.acm.org/doi/abs/10.1145/70082.68205
 	- Federation Learning: https://www.sciencedirect.com/science/article/abs/pii/S0950705121000381
 
+- Transfer learning
+	- https://link.springer.com/chapter/10.1007/978-3-319-97982-3_16
+

report/report.tex

@@ -130,8 +130,11 @@
 
 			These models can used in two ways in the system, they can be used to generate the models via transferlearning and by using the model structure as a basis to generate a complete new model.
 
+		\subsection{Models as a basis}
 			% TODO compare the models
 
+		\subsection{Efficiency of transfer learning}
+
     	\subsection{Creation Models}
     		The models that I will be creating will be Convolutional Neural Network(CNN) \cite{lecun1989handwritten,fukushima1980neocognitron}.
     		The system will be creating two types of models that cannot be expanded and models that can be expanded. For the models that can be expanded, see the section about expandable models.