Fixed negative cases for neural network diff creation

src/lexocraft/neural_network/neural_network_diff.cpp

@@ -1,14 +1,17 @@
+#include <algorithm>
+#include <vector>
+
 #include <Eigen/Eigen>
+#include <icecream.hpp>
+
 #include <lexocraft/neural_network/neural_network.hpp>
-#include <vector>
 
 namespace lc {
  // Give each random float values between -1 and 1.
  NeuralNetwork::NeuralNetworkDiff::NeuralNetworkDiff(
  const std::vector<std::size_t>& layer_sizes) :
- weight_diffs(layer_sizes.size() - 1),
- bias_diffs(layer_sizes.size() - 1), layer_sizes(layer_sizes) {
-
+ weight_diffs(std::max(std::size_t {0}, layer_sizes.size() - 1)),
+ bias_diffs(std::max(std::size_t {0}, layer_sizes.size() - 1)), layer_sizes {layer_sizes} {
  for (std::size_t index {0}; index < layer_sizes.size() - 1; index++) {
  weight_diffs [index] =
  Eigen::MatrixXf::Random(layer_sizes [index + 1], layer_sizes [index]);