Add convenience typedefs (ReLULayer, TanHLayer).

src/mlpack/methods/ann/layer/base_layer.hpp

@@ -11,6 +11,8 @@
 #include <mlpack/core.hpp>
 #include <mlpack/methods/ann/activation_functions/logistic_function.hpp>
 #include <mlpack/methods/ann/activation_functions/identity_function.hpp>
+#include <mlpack/methods/ann/activation_functions/rectifier_function.hpp>
+#include <mlpack/methods/ann/activation_functions/tanh_function.hpp>
 
 namespace mlpack {
 namespace ann /** Artificial Neural Network. */ {
@@ -23,6 +25,8 @@ namespace ann /** Artificial Neural Network. */ {
  *
  *  - SigmoidLayer
  *  - IdentityLayer
+ *  - ReLULayer
+ *  - TanHLayer
  *  - BaseLayer2D
  *
  * @tparam ActivationFunction Activation function used for the embedding layer.
@@ -165,6 +169,28 @@ template <
 using IdentityLayer = BaseLayer<
     ActivationFunction, InputDataType, OutputDataType>;
 
+/**
+ * Standard rectified linear unit non-linearity layer.
+ */
+template <
+    class ActivationFunction = RectifierFunction,
+    typename InputDataType = arma::mat,
+    typename OutputDataType = arma::mat
+>
+using ReLULayer = BaseLayer<
+    ActivationFunction, InputDataType, OutputDataType>;
+
+/**
+ * Standard hyperbolic tangent layer.
+ */
+template <
+    class ActivationFunction = TanhFunction,
+    typename InputDataType = arma::mat,
+    typename OutputDataType = arma::mat
+>
+using TanHLayer = BaseLayer<
+    ActivationFunction, InputDataType, OutputDataType>;
+
 /**
  * Standard Base-Layer2D using the logistic activation function.
  */