diff --git a/src/neural_network/NeuralNetwork.cpp b/src/neural_network/NeuralNetwork.cpp
index 7bff81c0..43d8e71d 100644
--- a/src/neural_network/NeuralNetwork.cpp
+++ b/src/neural_network/NeuralNetwork.cpp
@@ -102,10 +102,7 @@ vector<float> NeuralNetwork::calculateError(const vector<float>& outputs, const
     vector<float> errors(this->layers.back()->getNumberOfNeurons(), 0);
     for (size_t n = 0; n < errors.size(); ++n)
     {
-        if (isnan(desired[n]))
-            errors[n] = 0;
-        else
-            errors[n] = 2 * (desired[n] - outputs[n]);
+        errors[n] = 2 * (desired[n] - outputs[n]);
     }
     return errors;
 }
diff --git a/src/neural_network/layer/Layer.tpp b/src/neural_network/layer/Layer.tpp
index 26030727..80982977 100644
--- a/src/neural_network/layer/Layer.tpp
+++ b/src/neural_network/layer/Layer.tpp
@@ -85,7 +85,7 @@ float Layer<N>::getAverageOfAbsNeuronWeights() const
     auto sum = 0.0f;
     for (auto& n : this->neurons)
         for (auto w : n.getWeights())
-            sum += abs(w);
+            sum += std::abs(w);
     sum /= static_cast<float>(this->neurons.size());
     return sum;
 }
diff --git a/src/neural_network/layer/MaxPooling1D.hpp b/src/neural_network/layer/MaxPooling1D.hpp
index 48b1ce7b..dc0bfe4a 100644
--- a/src/neural_network/layer/MaxPooling1D.hpp
+++ b/src/neural_network/layer/MaxPooling1D.hpp
@@ -19,7 +19,7 @@ namespace snn::internal
 
         [[nodiscard]] std::vector<float> computeBackOutput(std::vector<float>& inputErrors) override;
         [[nodiscard]] std::vector<float> computeOutput(const std::vector<float>& inputs, bool temporalReset) override;
-        void computeTrain(std::vector<float> & [[maybe_unused]] inputErrors) override {}
+        void computeTrain([[maybe_unused]] std::vector<float> & inputErrors) override {}
         void buildKernelIndexes() override;
 
     public: