Add further Overleaf changes

project-report/src/latex/introduction.tex

@@ -23,6 +23,16 @@ \subsection{Project Aims}
 in varying the hyper-parameters of each model to provide for comparison and experimentation between different model performances. A Graphical User Interface has been developed 
 to provide a mechanism for a researcher, or interested student, to train and test models and alter key hyper-parameters to explore the effect on performance and results.
 
+\subsection{Overview}
+
+Developing an Artificial Neural Network has required understanding the fundamental theoretical maths and algorithms underpinning this important technology which has been 
+exciting and challenging. In implementing the network I have focused on an object-orientated approach utilising design approaches such as encapsulation and suitable data 
+structures such as doubly linked lists. I have also researched and set up a development environment utilising tools such as GitHub, Jupyter Notebook, Visual Studio Code, 
+LaTex, automated unit testing etc. At the start of the project, I was lucky enough to interview an expert in the field of Neural Networks and AI and his guidance was valuable 
+in setting the scope of the project and suggesting properties of the network to test. I am particularly pleased with being able to implement the network from the first 
+principle maths. The main learning I have taken from this project is that Artificial Neural Networks require tuning to best address a particular problem - they are not a 
+one-size-fits-all solution - and that this is a combination of research, experimentation and experience.
+
 \pagebreak
 
 \end{document}

project-report/src/latex/technical-solution.tex

@@ -83,7 +83,7 @@ \subsubsection{Organisation}
 
 I also utilise a TODO.md file for keeping track of what features and/or bugs need to be worked on.
 
-\subsection{models package}
+\subsection{Models package}
 
 This package is a self-contained package for creating the trained Artificial Neural Networks and can either be used with a CPU or a GPU, as well as containing the test 
 and training data for all three datasets in a datasets directory. Whilst both the cpu and gpu subpackage are similar in functionality, the cpu subpackage uses NumPy 
@@ -93,7 +93,7 @@ \subsection{models package}
 Both the cpu and gpu subpackage contain a utils subpackage that provides the tools for creating Artificial Neural Networks, and three modules that are the implementation 
 of Artificial Neural Networks for each dataset.
 
-\subsubsection{utils subpackage}
+\subsubsection{Utils subpackage}
 \label{sec:utils-subpackage}
 
 The utils subpackage consists of a tools.py module that provides a ModelInterface class and helper functions for the model.py module, that contains an AbstractModel 
@@ -121,7 +121,7 @@ \subsubsection{Artificial Neural Network implementations}
         \inputminted{python}{./school_project/models/cpu/xor.py}
 \end{itemize}
 
-\subsection{frames package}
+\subsection{Frames package}
 
 I have used tkinter for the User Interface and the frames package which consists of tkinter frames to be loaded onto the main window when needed. The package also 
 includes a hyper-parameter-defaults.json file, which stores optimum default values for the hyper-parameters to be set to.
@@ -189,7 +189,7 @@ \subsection{frames package}
         \end{figure}
 \end{itemize}
 
-\subsection{\_\_main\_\_.py module}
+\subsection{Project Entrypoint - \_\_main\_\_.py module}
 
 This module is the entrypoint to the project and loads the main window of the User Interface: