Author: smarthi
Date: Sat Dec 21 06:18:10 2013
New Revision: 1552877
URL: http://svn.apache.org/r1552877
Log:
Fixed spelling typos, keep IntelliJ's spellchecker happy
Modified:
mahout/trunk/core/src/main/java/org/apache/mahout/classifier/mlp/MultilayerPerceptron.java
Modified:
mahout/trunk/core/src/main/java/org/apache/mahout/classifier/mlp/MultilayerPerceptron.java
URL:
http://svn.apache.org/viewvc/mahout/trunk/core/src/main/java/org/apache/mahout/classifier/mlp/MultilayerPerceptron.java?rev=1552877&r1=1552876&r2=1552877&view=diff
==============================================================================
---
mahout/trunk/core/src/main/java/org/apache/mahout/classifier/mlp/MultilayerPerceptron.java
(original)
+++
mahout/trunk/core/src/main/java/org/apache/mahout/classifier/mlp/MultilayerPerceptron.java
Sat Dec 21 06:18:10 2013
@@ -24,7 +24,7 @@ import org.apache.mahout.math.Vector;
/**
* A Multilayer Perceptron (MLP) is a kind of feed-forward artificial neural
* network, which is a mathematical model inspired by the biological neural
- * network. The multilayer perceptron can be used for various machine learning
+ * network. The Multilayer Perceptron can be used for various machine learning
* tasks such as classification and regression.
*
* A detailed introduction about MLP can be found at
@@ -33,7 +33,7 @@ import org.apache.mahout.math.Vector;
* For this particular implementation, the users can freely control the
topology
* of the MLP, including: 1. The size of the input layer; 2. The number of
* hidden layers; 3. The size of each hidden layer; 4. The size of the output
- * later. 5. The cost function. 6. The squashing function.
+ * layer. 5. The cost function. 6. The squashing function.
*
* The model is trained in an online learning approach, where the weights of
* neurons in the MLP is updated incremented using backPropagation algorithm
