diff --git a/src/mlpack/methods/ann/layer/bias_layer.hpp b/src/mlpack/methods/ann/layer/bias_layer.hpp
index f8f39bce27..11d293d2a7 100644
--- a/src/mlpack/methods/ann/layer/bias_layer.hpp
+++ b/src/mlpack/methods/ann/layer/bias_layer.hpp
@@ -46,20 +46,6 @@ class BiasLayer
   {
     weights.set_size(outSize, 1);
   }
-  
-  BiasLayer(BiasLayer &&layer) noexcept
-  {
-    *this = std::move(layer);
-  }
-
-  BiasLayer& operator=(BiasLayer &&layer) noexcept
-  {
-    outSize = layer.outSize;
-    bias = layer.bias;
-    weights.swap(layer.weights);
-
-    return *this;
-  }
 
   /**
    * Ordinary feed forward pass of a neural network, evaluating the function
@@ -142,22 +128,22 @@ class BiasLayer
   InputDataType& Weights() { return weights; }
 
   //! Get the input parameter.
-  InputDataType& InputParameter() const {return inputParameter; }
+  InputDataType& InputParameter() const { return inputParameter; }
   //! Modify the input parameter.
   InputDataType& InputParameter() { return inputParameter; }
 
   //! Get the output parameter.
-  OutputDataType& OutputParameter() const {return outputParameter; }
+  OutputDataType& OutputParameter() const { return outputParameter; }
   //! Modify the output parameter.
   OutputDataType& OutputParameter() { return outputParameter; }
 
   //! Get the delta.
-  OutputDataType& Delta() const {return delta; }
+  OutputDataType& Delta() const { return delta; }
   //! Modify the delta.
   OutputDataType& Delta() { return delta; }
 
   //! Get the gradient.
-  InputDataType& Gradient() const {return gradient; }
+  InputDataType& Gradient() const { return gradient; }
   //! Modify the gradient.
   InputDataType& Gradient() { return gradient; }
 
diff --git a/src/mlpack/methods/ann/layer/conv_layer.hpp b/src/mlpack/methods/ann/layer/conv_layer.hpp
index 6846eeaff9..06f38a8bfc 100644
--- a/src/mlpack/methods/ann/layer/conv_layer.hpp
+++ b/src/mlpack/methods/ann/layer/conv_layer.hpp
@@ -185,22 +185,22 @@ class ConvLayer
   OutputDataType& Weights() { return weights; }
 
   //! Get the input parameter.
-  InputDataType& InputParameter() const {return inputParameter; }
+  InputDataType& InputParameter() const { return inputParameter; }
   //! Modify the input parameter.
   InputDataType& InputParameter() { return inputParameter; }
 
   //! Get the output parameter.
-  OutputDataType& OutputParameter() const {return outputParameter; }
+  OutputDataType& OutputParameter() const { return outputParameter; }
   //! Modify the output parameter.
   OutputDataType& OutputParameter() { return outputParameter; }
 
   //! Get the delta.
-  OutputDataType& Delta() const {return delta; }
+  OutputDataType& Delta() const { return delta; }
   //! Modify the delta.
   OutputDataType& Delta() { return delta; }
 
   //! Get the gradient.
-  OutputDataType& Gradient() const {return gradient; }
+  OutputDataType& Gradient() const { return gradient; }
   //! Modify the gradient.
   OutputDataType& Gradient() { return gradient; }
 
diff --git a/src/mlpack/methods/ann/layer/linear_layer.hpp b/src/mlpack/methods/ann/layer/linear_layer.hpp
index d94bb7327d..f059bb302f 100644
--- a/src/mlpack/methods/ann/layer/linear_layer.hpp
+++ b/src/mlpack/methods/ann/layer/linear_layer.hpp
@@ -36,8 +36,7 @@ class LinearLayer
    * @param inSize The number of input units.
    * @param outSize The number of output units.
    */
-  LinearLayer(const size_t inSize,
-              const size_t outSize) :
+  LinearLayer(const size_t inSize, const size_t outSize) :
       inSize(inSize),
       outSize(outSize)
   {
@@ -131,22 +130,22 @@ class LinearLayer
   OutputDataType& Weights() { return weights; }
 
   //! Get the input parameter.
-  InputDataType& InputParameter() const {return inputParameter; }
+  InputDataType& InputParameter() const { return inputParameter; }
   //! Modify the input parameter.
   InputDataType& InputParameter() { return inputParameter; }
 
   //! Get the output parameter.
-  OutputDataType& OutputParameter() const {return outputParameter; }
+  OutputDataType& OutputParameter() const { return outputParameter; }
   //! Modify the output parameter.
   OutputDataType& OutputParameter() { return outputParameter; }
 
   //! Get the delta.
-  OutputDataType& Delta() const {return delta; }
+  OutputDataType& Delta() const { return delta; }
   //! Modify the delta.
   OutputDataType& Delta() { return delta; }
 
   //! Get the gradient.
-  OutputDataType& Gradient() const {return gradient; }
+  OutputDataType& Gradient() const { return gradient; }
   //! Modify the gradient.
   OutputDataType& Gradient() { return gradient; }
 
diff --git a/src/mlpack/methods/ann/layer/lstm_layer.hpp b/src/mlpack/methods/ann/layer/lstm_layer.hpp
index 642dad82b4..0ac04e7ec5 100644
--- a/src/mlpack/methods/ann/layer/lstm_layer.hpp
+++ b/src/mlpack/methods/ann/layer/lstm_layer.hpp
@@ -268,17 +268,17 @@ class LSTMLayer
   OutputDataType& Weights() { return peepholeWeights; }
 
   //! Get the input parameter.
-  InputDataType& InputParameter() const {return inputParameter; }
+  InputDataType& InputParameter() const { return inputParameter; }
   //! Modify the input parameter.
   InputDataType& InputParameter() { return inputParameter; }
 
   //! Get the output parameter.
-  OutputDataType& OutputParameter() const {return outputParameter; }
+  OutputDataType& OutputParameter() const { return outputParameter; }
   //! Modify the output parameter.
   OutputDataType& OutputParameter() { return outputParameter; }
 
   //! Get the delta.
-  OutputDataType& Delta() const {return delta; }
+  OutputDataType& Delta() const { return delta; }
   //! Modify the delta.
   OutputDataType& Delta() { return delta; }
 
diff --git a/src/mlpack/methods/ann/layer/pooling_layer.hpp b/src/mlpack/methods/ann/layer/pooling_layer.hpp
index c8eca2e56c..fdaefad589 100644
--- a/src/mlpack/methods/ann/layer/pooling_layer.hpp
+++ b/src/mlpack/methods/ann/layer/pooling_layer.hpp
@@ -149,17 +149,17 @@ class PoolingLayer
   }
 
   //! Get the input parameter.
-  InputDataType& InputParameter() const {return inputParameter; }
+  InputDataType& InputParameter() const { return inputParameter; }
   //! Modify the input parameter.
   InputDataType& InputParameter() { return inputParameter; }
 
   //! Get the output parameter.
-  InputDataType& OutputParameter() const {return outputParameter; }
+  InputDataType& OutputParameter() const { return outputParameter; }
   //! Modify the output parameter.
   InputDataType& OutputParameter() { return outputParameter; }
 
   //! Get the delta.
-  OutputDataType& Delta() const {return delta; }
+  OutputDataType& Delta() const { return delta; }
   //! Modify the delta.
   OutputDataType& Delta() { return delta; }
 
diff --git a/src/mlpack/methods/ann/layer/recurrent_layer.hpp b/src/mlpack/methods/ann/layer/recurrent_layer.hpp
index 6f57899bfc..332a659983 100644
--- a/src/mlpack/methods/ann/layer/recurrent_layer.hpp
+++ b/src/mlpack/methods/ann/layer/recurrent_layer.hpp
@@ -119,27 +119,27 @@ class RecurrentLayer
   OutputDataType& Weights() { return weights; }
 
   //! Get the input parameter.
-  InputDataType& InputParameter() const {return inputParameter; }
+  InputDataType& InputParameter() const { return inputParameter; }
   //! Modify the input parameter.
   InputDataType& InputParameter() { return inputParameter; }
 
   //! Get the input parameter.
-  InputDataType& RecurrentParameter() const {return recurrentParameter; }
+  InputDataType& RecurrentParameter() const { return recurrentParameter; }
   //! Modify the input parameter.
   InputDataType& RecurrentParameter() { return recurrentParameter; }
 
   //! Get the output parameter.
-  OutputDataType& OutputParameter() const {return outputParameter; }
+  OutputDataType& OutputParameter() const { return outputParameter; }
   //! Modify the output parameter.
   OutputDataType& OutputParameter() { return outputParameter; }
 
   //! Get the delta.
-  OutputDataType& Delta() const {return delta; }
+  OutputDataType& Delta() const { return delta; }
   //! Modify the delta.
   OutputDataType& Delta() { return delta; }
 
   //! Get the gradient.
-  OutputDataType& Gradient() const {return gradient; }
+  OutputDataType& Gradient() const { return gradient; }
   //! Modify the gradient.
   OutputDataType& Gradient() { return gradient; }
 
diff --git a/src/mlpack/methods/ann/layer/softmax_layer.hpp b/src/mlpack/methods/ann/layer/softmax_layer.hpp
index 860d57a947..12e0146cbc 100644
--- a/src/mlpack/methods/ann/layer/softmax_layer.hpp
+++ b/src/mlpack/methods/ann/layer/softmax_layer.hpp
@@ -83,17 +83,17 @@ class SoftmaxLayer
   }
 
   //! Get the input parameter.
-  InputDataType& InputParameter() const {return inputParameter; }
+  InputDataType& InputParameter() const { return inputParameter; }
   //! Modify the input parameter.
   InputDataType& InputParameter() { return inputParameter; }
 
   //! Get the output parameter.
-  OutputDataType& OutputParameter() const {return outputParameter; }
+  OutputDataType& OutputParameter() const { return outputParameter; }
   //! Modify the output parameter.
   OutputDataType& OutputParameter() { return outputParameter; }
 
   //! Get the delta.
-  InputDataType& Delta() const {return delta; }
+  InputDataType& Delta() const { return delta; }
   //! Modify the delta.
   InputDataType& Delta() { return delta; }
 
diff --git a/src/mlpack/methods/ann/layer/sparse_bias_layer.hpp b/src/mlpack/methods/ann/layer/sparse_bias_layer.hpp
index 7b7c8b3795..2723a98d31 100644
--- a/src/mlpack/methods/ann/layer/sparse_bias_layer.hpp
+++ b/src/mlpack/methods/ann/layer/sparse_bias_layer.hpp
@@ -112,22 +112,22 @@ class SparseBiasLayer
   InputDataType& Weights() { return weights; }
 
   //! Get the input parameter.
-  InputDataType const& InputParameter() const {return inputParameter; }
+  InputDataType const& InputParameter() const { return inputParameter; }
   //! Modify the input parameter.
   InputDataType& InputParameter() { return inputParameter; }
 
   //! Get the output parameter.
-  OutputDataType const& OutputParameter() const {return outputParameter; }
+  OutputDataType const& OutputParameter() const { return outputParameter; }
   //! Modify the output parameter.
   OutputDataType& OutputParameter() { return outputParameter; }
 
   //! Get the delta.
-  OutputDataType const& Delta() const {return delta; }
+  OutputDataType const& Delta() const { return delta; }
   //! Modify the delta.
   OutputDataType& Delta() { return delta; }
 
   //! Get the gradient.
-  InputDataType const& Gradient() const {return gradient; }
+  InputDataType const& Gradient() const { return gradient; }
   //! Modify the gradient.
   InputDataType& Gradient() { return gradient; }
 
diff --git a/src/mlpack/methods/ann/layer/sparse_input_layer.hpp b/src/mlpack/methods/ann/layer/sparse_input_layer.hpp
index 4280ae5ac6..efdb7772b8 100644
--- a/src/mlpack/methods/ann/layer/sparse_input_layer.hpp
+++ b/src/mlpack/methods/ann/layer/sparse_input_layer.hpp
@@ -114,22 +114,22 @@ class SparseInputLayer
   OutputDataType& Weights() { return weights; }
 
   //! Get the input parameter.
-  InputDataType const& InputParameter() const {return inputParameter; }
+  InputDataType const& InputParameter() const { return inputParameter; }
   //! Modify the input parameter.
   InputDataType& InputParameter() { return inputParameter; }
 
   //! Get the output parameter.
-  OutputDataType const& OutputParameter() const {return outputParameter; }
+  OutputDataType const& OutputParameter() const { return outputParameter; }
   //! Modify the output parameter.
   OutputDataType& OutputParameter() { return outputParameter; }
 
   //! Get the delta.
-  OutputDataType const& Delta() const {return delta; }
+  OutputDataType const& Delta() const { return delta; }
   //! Modify the delta.
   OutputDataType& Delta() { return delta; }
 
   //! Get the gradient.
-  OutputDataType& Gradient() const {return gradient; }
+  OutputDataType& Gradient() const { return gradient; }
   //! Modify the gradient.
   OutputDataType& Gradient() { return gradient; }
 
diff --git a/src/mlpack/methods/ann/layer/sparse_output_layer.hpp b/src/mlpack/methods/ann/layer/sparse_output_layer.hpp
index 99a2500c47..950081a7ef 100644
--- a/src/mlpack/methods/ann/layer/sparse_output_layer.hpp
+++ b/src/mlpack/methods/ann/layer/sparse_output_layer.hpp
@@ -154,22 +154,22 @@ class SparseOutputLayer
   OutputDataType& RhoCap() { return rhoCap; }
 
   //! Get the input parameter.
-  InputDataType const& InputParameter() const {return inputParameter; }
+  InputDataType const& InputParameter() const { return inputParameter; }
   //! Modify the input parameter.
   InputDataType& InputParameter() { return inputParameter; }
 
   //! Get the output parameter.
-  OutputDataType const& OutputParameter() const {return outputParameter; }
+  OutputDataType const& OutputParameter() const { return outputParameter; }
   //! Modify the output parameter.
   OutputDataType& OutputParameter() { return outputParameter; }
 
   //! Get the delta.
-  OutputDataType const& Delta() const {return delta; }
+  OutputDataType const& Delta() const { return delta; }
   //! Modify the delta.
   OutputDataType& Delta() { return delta; }
 
   //! Get the gradient.
-  OutputDataType const& Gradient() const {return gradient; }
+  OutputDataType const& Gradient() const { return gradient; }
   //! Modify the gradient.
   OutputDataType& Gradient() { return gradient; }