diff --git a/src/mlpack/methods/ann/brnn.hpp b/src/mlpack/methods/ann/brnn.hpp
index e3170474b4..ac1e77f3dc 100644
--- a/src/mlpack/methods/ann/brnn.hpp
+++ b/src/mlpack/methods/ann/brnn.hpp
@@ -24,7 +24,6 @@
 #include "init_rules/network_init.hpp"
 #include <mlpack/methods/ann/layer/layer_types.hpp>
 #include <mlpack/methods/ann/layer/layer.hpp>
-#include <mlpack/methods/ann/layer/layer_traits.hpp>
 #include <mlpack/methods/ann/init_rules/random_init.hpp>
 
 #include <ensmallen.hpp>
diff --git a/src/mlpack/methods/ann/ffn.hpp b/src/mlpack/methods/ann/ffn.hpp
index 7a9b44104e..e3f22f94d1 100644
--- a/src/mlpack/methods/ann/ffn.hpp
+++ b/src/mlpack/methods/ann/ffn.hpp
@@ -21,7 +21,6 @@
 #include <mlpack/methods/ann/layer/multi_layer.hpp>
 #include <mlpack/methods/ann/init_rules/random_init.hpp>
 #include <mlpack/methods/ann/loss_functions/negative_log_likelihood.hpp>
-#include <mlpack/methods/ann/layer/layer_traits.hpp>
 #include <ensmallen.hpp>
 
 namespace mlpack {
diff --git a/src/mlpack/methods/ann/layer/layer_traits.hpp b/src/mlpack/methods/ann/layer/layer_traits.hpp
deleted file mode 100644
index a6a447f43d..0000000000
--- a/src/mlpack/methods/ann/layer/layer_traits.hpp
+++ /dev/null
@@ -1,130 +0,0 @@
-/**
- * @file methods/ann/layer/layer_traits.hpp
- * @author Marcus Edel
- *
- * This provides the LayerTraits class, a template class to get information
- * about various layers.
- *
- * mlpack is free software; you may redistribute it and/or modify it under the
- * terms of the 3-clause BSD license.  You should have received a copy of the
- * 3-clause BSD license along with mlpack.  If not, see
- * http://www.opensource.org/licenses/BSD-3-Clause for more information.
- */
-#ifndef MLPACK_METHODS_ANN_LAYER_LAYER_TRAITS_HPP
-#define MLPACK_METHODS_ANN_LAYER_LAYER_TRAITS_HPP
-
-#include <mlpack/core/util/sfinae_utility.hpp>
-
-namespace mlpack {
-namespace ann {
-
-/**
- * This is a template class that can provide information about various layers.
- * By default, this class will provide the weakest possible assumptions on
- * layer, and each layer should override values as necessary.  If a layer
- * doesn't need to override a value, then there's no need to write a LayerTraits
- * specialization for that class.
- */
-template<typename LayerType>
-class LayerTraits
-{
- public:
-  /**
-   * This is true if the layer is a binary layer.
-   */
-  static const bool IsBinary = false;
-
-  /**
-   * This is true if the layer is an output layer.
-   */
-  static const bool IsOutputLayer = false;
-
-  /**
-   * This is true if the layer is a bias layer.
-   */
-  static const bool IsBiasLayer = false;
-
-  /*
-   * This is true if the layer is a LSTM layer.
-   **/
-  static const bool IsLSTMLayer = false;
-
-  /*
-   * This is true if the layer is a connection layer.
-   **/
-  static const bool IsConnection = false;
-};
-
-// This gives us a HasGradientCheck<T, U> type (where U is a function pointer)
-// we can use with SFINAE to catch when a type has a Gradient(...) function.
-HAS_MEM_FUNC(Gradient, HasGradientCheck);
-
-// This gives us a HasDeterministicCheck<T, U> type (where U is a function
-// pointer) we can use with SFINAE to catch when a type has a Deterministic()
-// function.
-HAS_MEM_FUNC(Deterministic, HasDeterministicCheck);
-
-// This gives us a HasParametersCheck<T, U> type (where U is a function pointer)
-// we can use with SFINAE to catch when a type has a Parameters() function.
-HAS_MEM_FUNC(Parameters, HasParametersCheck);
-
-// This gives us a HasAddCheck<T, U> type (where U is a function pointer) we
-// can use with SFINAE to catch when a type has a Add() function.
-HAS_MEM_FUNC(Add, HasAddCheck);
-
-// This gives us a HasModelCheck<T> type we can use with SFINAE to catch when
-// a type has a function named Model.
-HAS_ANY_METHOD_FORM(Model, HasModelCheck);
-
-// This gives us a HasLocationCheck<T, U> type (where U is a function pointer)
-// we can use with SFINAE to catch when a type has a Location() function.
-HAS_MEM_FUNC(Location, HasLocationCheck);
-
-// This gives us a HasResetCheck<T, U> type (where U is a function pointer)
-// we can use with SFINAE to catch when a type has a Reset() function.
-HAS_MEM_FUNC(Reset, HasResetCheck);
-
-// This gives us a HasResetCheck<T, U> type (where U is a function pointer)
-// we can use with SFINAE to catch when a type has a ResetCell() function.
-HAS_MEM_FUNC(ResetCell, HasResetCellCheck);
-
-// This gives us a HasRewardCheck<T, U> type (where U is a function pointer) we
-// can use with SFINAE to catch when a type has a Reward() function.
-HAS_MEM_FUNC(Reward, HasRewardCheck);
-
-// This gives us a HasInputWidth<T, U> type (where U is a function pointer) we
-// can use with SFINAE to catch when a type has a InputWidth() function.
-HAS_MEM_FUNC(InputWidth, HasInputWidth);
-
-// This gives us a HasInputHeight<T, U> type (where U is a function pointer) we
-// can use with SFINAE to catch when a type has a InputHeight() function.
-HAS_MEM_FUNC(InputHeight, HasInputHeight);
-
-// This gives us a HasRho<T, U> type (where U is a function pointer) we
-// can use with SFINAE to catch when a type has a Rho() function.
-HAS_MEM_FUNC(Rho, HasRho);
-
-// This gives us a HasLoss<T, U> type (where U is a function pointer) we
-// can use with SFINAE to catch when a type has a Loss() function.
-HAS_MEM_FUNC(Loss, HasLoss);
-
-// This gives us a HasRunCheck<T, U> type (where U is a function pointer) we
-// can use with SFINAE to catch when a type has a Run() function.
-HAS_MEM_FUNC(Run, HasRunCheck);
-
-// This gives us a HasBiasCheck<T, U> type (where U is a function pointer) we
-// can use with SFINAE to catch when a type has a Bias() function.
-HAS_MEM_FUNC(Bias, HasBiasCheck);
-
-// This gives us a HasMaxIterationsC<T, U> type (where U is a function pointer)
-// we can use with SFINAE to catch when a type has a MaxIterations() function.
-HAS_MEM_FUNC(MaxIterations, HasMaxIterations);
-
-// This gives us a HasInShapeCheck<T> type we can use with SFINAE to catch when
-// a type has a function named InputShape.
-HAS_ANY_METHOD_FORM(InputShape, HasInputShapeCheck);
-
-} // namespace ann
-} // namespace mlpack
-
-#endif
diff --git a/src/mlpack/methods/ann/rnn.hpp b/src/mlpack/methods/ann/rnn.hpp
index a284816138..eb2095cebf 100644
--- a/src/mlpack/methods/ann/rnn.hpp
+++ b/src/mlpack/methods/ann/rnn.hpp
@@ -23,7 +23,6 @@
 
 #include <mlpack/methods/ann/layer/layer_types.hpp>
 #include <mlpack/methods/ann/layer/layer.hpp>
-#include <mlpack/methods/ann/layer/layer_traits.hpp>
 #include <mlpack/methods/ann/init_rules/random_init.hpp>
 
 #include <ensmallen.hpp>