From 37b5153d6a595dda3410443c1b54947caee57643 Mon Sep 17 00:00:00 2001
From: mandlm <mandlm@molez.net>
Date: Mon, 26 Oct 2015 20:34:26 +0100
Subject: [PATCH] Cleaned up code to work with MinGW/GCC Kit

---
 Layer.cpp  |  4 +++-
 Net.cpp    | 12 +++++++-----
 Net.h      |  1 +
 Neuron.cpp |  6 ++++--
 Neuron.h   |  2 ++
 5 files changed, 17 insertions(+), 8 deletions(-)

diff --git a/Layer.cpp b/Layer.cpp
index 4b14db9..96010c5 100644
--- a/Layer.cpp
+++ b/Layer.cpp
@@ -1,5 +1,7 @@
 #include "Layer.h"
 
+#include <stdexcept>
+
 Layer::Layer(size_t numNeurons)
 {
 	for (unsigned int i = 0; i < numNeurons; ++i)
@@ -12,7 +14,7 @@ void Layer::setOutputValues(const std::vector<double> & outputValues)
 {
 	if (size() - 1 != outputValues.size())
 	{
-		throw std::exception("The number of output values has to match the layer size");
+        throw std::runtime_error("The number of output values has to match the layer size");
 	}
 
 	auto neuronIt = begin();
diff --git a/Net.cpp b/Net.cpp
index 2a540b3..62c786d 100644
--- a/Net.cpp
+++ b/Net.cpp
@@ -3,6 +3,8 @@
 #include <string>
 #include <iostream>
 #include <fstream>
+#include <stdexcept>
+#include <cmath>
 
 Net::Net()
 {
@@ -25,7 +27,7 @@ void Net::initialize(std::initializer_list<size_t> layerSizes)
 
     if (layerSizes.size() < 2)
     {
-        throw std::exception("A net needs at least 2 layers");
+        throw std::runtime_error("A net needs at least 2 layers");
     }
 
     for (size_t numNeurons : layerSizes)
@@ -50,7 +52,7 @@ void Net::feedForward(const std::vector<double> &inputValues)
 
 	if (inputLayer.size() - 1 != inputValues.size())
 	{
-		throw std::exception("The number of input values has to match the input layer size");
+        throw std::runtime_error("The number of input values has to match the input layer size");
 	}
 
 	inputLayer.setOutputValues(inputValues);
@@ -83,7 +85,7 @@ void Net::backProp(const std::vector<double> &targetValues)
 
 	if (targetValues.size() != outputLayer.size())
 	{
-		throw std::exception("The number of target values has to match the output layer size");
+        throw std::runtime_error("The number of target values has to match the output layer size");
 	}
 
 	std::vector<double> resultValues = getOutput();
@@ -133,7 +135,7 @@ void Net::save(const std::string &filename)
     outFile.open(filename);
     if (!outFile.is_open())
     {
-        throw std::exception("unable to open output file");
+        throw std::runtime_error("unable to open output file");
     }
 
     outFile << size() << std::endl;
@@ -163,7 +165,7 @@ void Net::load(const std::string &filename)
     inFile.open(filename, std::ios::binary);
     if (!inFile.is_open())
     {
-        throw std::exception("unable to open input file");
+        throw std::runtime_error("unable to open input file");
     }
 
     clear();
diff --git a/Net.h b/Net.h
index ad2e53c..41a80c0 100644
--- a/Net.h
+++ b/Net.h
@@ -1,6 +1,7 @@
 #pragma once
 
 #include <vector>
+#include <string>
 
 #include "Layer.h"
 
diff --git a/Neuron.cpp b/Neuron.cpp
index afa6a5e..5df927a 100644
--- a/Neuron.cpp
+++ b/Neuron.cpp
@@ -1,6 +1,8 @@
-#pragma once
-
 #include "Neuron.h"
+
+#include <cmath>
+#include <random>
+
 #include "Layer.h"
 
 Neuron::Neuron(double value)
diff --git a/Neuron.h b/Neuron.h
index 20b1684..c4ac780 100644
--- a/Neuron.h
+++ b/Neuron.h
@@ -1,5 +1,7 @@
 #pragma once
 
+#include <stddef.h>
+
 #include <vector>
 #include <list>