diff --git a/src/mlpack/methods/ann/layer/dropconnect_layer.hpp b/src/mlpack/methods/ann/layer/dropconnect_layer.hpp
index 54867cc362..0e05816a62 100644
--- a/src/mlpack/methods/ann/layer/dropconnect_layer.hpp
+++ b/src/mlpack/methods/ann/layer/dropconnect_layer.hpp
@@ -42,7 +42,7 @@ namespace ann /** Artificial Neural Network. */ {
  * }
  * @endcode
  *
- * @tparam InputLayer Layer used instead of the internel linear layer.
+ * @tparam InputLayer Layer used instead of the internal linear layer.
  * @tparam InputDataType Type of the input data (arma::colvec, arma::mat,
  *         arma::sp_mat or arma::cube).
  * @tparam OutputDataType Type of the output data (arma::colvec, arma::mat,
diff --git a/src/mlpack/methods/ann/layer/negative_log_likelihood_layer.hpp b/src/mlpack/methods/ann/layer/negative_log_likelihood_layer.hpp
index d2f1f51108..050e015208 100644
--- a/src/mlpack/methods/ann/layer/negative_log_likelihood_layer.hpp
+++ b/src/mlpack/methods/ann/layer/negative_log_likelihood_layer.hpp
@@ -14,7 +14,7 @@ namespace ann /** Artificial Neural Network. */ {
 
 /**
  * Implementation of the negative log likelihood layer. The negative log
- * likelihood layer expectes that the input contains log-probabilities for each
+ * likelihood layer expects that the input contains log-probabilities for each
  * class. The layer also expects a class index, in the range between 1 and the
  * number of classes, as target when calling the Forward function.
  *
@@ -38,7 +38,7 @@ class NegativeLogLikelihoodLayer
 
   /**
    * Ordinary feed forward pass of a neural network. The negative log
-   * likelihood layer expectes that the input contains log-probabilities for
+   * likelihood layer expects that the input contains log-probabilities for
    * each class. The layer also expects a class index, in the range between 1
    * and the number of classes, as target when calling the Forward function.
    *
@@ -65,7 +65,7 @@ class NegativeLogLikelihoodLayer
 
   /**
    * Ordinary feed backward pass of a neural network. The negative log
-   * likelihood layer expectes that the input contains log-probabilities for
+   * likelihood layer expects that the input contains log-probabilities for
    * each class. The layer also expects a class index, in the range between 1
    * and the number of classes, as target when calling the Forward function.
    *