cleanup cruft

Author: levithomason

README.md

@@ -23,8 +23,8 @@
 </p>
 
 ## Get Started
-[Documentation](http://dev-coop.github.io/anny/docs/dist/0.1.0/index.html)
-[Demo](http://dev-coop.github.io/anny)
+Read the [documentation](http://dev-coop.github.io/anny/docs/dist/0.1.0)
+or try the [demo](http://dev-coop.github.io/anny).
 
 ## Hacking
 

conf.json

@@ -38,22 +38,6 @@
           "./docs/src/static"
         ]
       }
-    },
-    "applicationName": "Anny",
-    "disqus": "",
-    "googleAnalytics": "",
-    "openGraph": {
-      "title": "",
-      "type": "website",
-      "image": "",
-      "site_name": "",
-      "url": ""
-    },
-    "meta": {
-      "title": "",
-      "description": "",
-      "keyword": ""
-    },
-    "linenums": true
+    }
   }
 }

package.json

@@ -60,7 +60,6 @@
     "jsdoc": "^3.3.2",
     "lodash": "^3.10.0",
     "mathjs": "^2.1.1",
-    "minami": "^1.1.1",
     "mocha": "^2.2.5",
     "node-libs-browser": "^0.5.2",
     "pre-commit": "^1.1.1",

src/Layer.js

@@ -3,9 +3,9 @@ var INITIALIZE = require('./Initialize');
 var Neuron = require('./Neuron');
 
 /**
- * Creates a single dimension  Layer of Neurons.
+ * Creates a single dimension Layer of Neurons.
  * @param {string} numNeurons - The number of Neurons this Layer should have.
- * @param {boolean} [addBias=false] - Add a bias  Neuron to this Layer.
+ * @param {boolean} [addBias=false] - Add a bias Neuron to this Layer.
  * @constructor
  * @see Neuron
  */
@@ -27,7 +27,7 @@ function Layer(numNeurons, addBias) {
 }
 
 /**
- * Connects every  Neuron in this Layer to each  Neuron in the `target` Layer.
+ * Connects every Neuron in this Layer to each Neuron in the `target` Layer.
  * @param {Layer} targetLayer - The Layer to connect to.
  */
 Layer.prototype.connect = function(targetLayer) {
@@ -46,8 +46,8 @@ Layer.prototype.connect = function(targetLayer) {
 
 /**
  * Activates all the Neurons in this Layer with the given array of values.
- * @param {number[]} [values] - Map of input values for each  Neuron.
- * @returns {number[]} - Array of  Neuron output values.
+ * @param {number[]} [values] - Map of input values for each Neuron.
+ * @returns {number[]} - Array of Neuron output values.
  */
 Layer.prototype.activate = function(values) {
   return _.map(this.neurons, function(neuron, i) {

src/Neuron.js

@@ -76,15 +76,15 @@ Neuron.Connection = function(source, target, weight) {
    */
   this.target = target;
 
-  // We add one to initialize the weight value as if this connection were
-  // already part of the fan.
   /**
    * The weight is used as a multiplier for two purposes.  First, for
    * activation, when transferring the output of the `source` Neuron to
    * the input of the `target` Neuron. Second, during training, calculating the
    * total error delta.
    * @type {number}
    */
+  // We add one to initialize the weight value as if this connection were
+  // already part of the fan.
   this.weight = weight || INITIALIZE.weight(target.incoming.length + 1);
 };