Merge pull request #133 from BrainJS/v1.0.3-prep

V1.0.3 prep

Author: robertleeplummerjr

ISSUE_TEMPLATE.md

@@ -0,0 +1,20 @@
+<!-- If you don't mind add a fun gif or meme, but no pressure -->
+![A GIF or MEME to give some spice of the internet](url)
+
+## *What* is wrong?
+<!-- Ex. training network takes really long -->
+
+## *Where* does it happen?
+<!-- Ex. In the a NeuralNetwork when trying to run a net in node.js on my mac -->
+
+## *How* do we replicate the issue?
+<!-- Please be specific as possible. Use dashes (-) or numbers (1.) to create a list of steps -->
+
+## *How* important is this (1-5)?
+<!-- On a scale from 1-5 where 5 is the most important how would you rate it? -->
+
+## Expected behavior (i.e. solution)
+<!-- What do you think should have happened? -->
+
+
+## Other Comments

PULL_REQUEST_TEMPLATE.md

@@ -0,0 +1,39 @@
+<!--- Provide a general summary of your changes in the Title above -->
+
+<!-- If you don't mind add a fun gif or meme, but no pressure -->
+![A GIF or MEME to give some spice of the internet](url)
+
+## Description
+<!--- Describe your changes in detail -->
+
+## Motivation and Context
+<!--- Why is this change required? What problem does it solve? -->
+<!--- If it fixes an open issue, please link to the issue here. -->
+[issue](https://github.com/BrainJS/brain.js/issues/###)
+
+## How Has This Been Tested?
+<!--- Please describe in detail how you tested your changes. -->
+<!--- Include details of your testing environment, tests ran to see how -->
+<!--- your change affects other areas of the code, etc. -->
+
+## Screenshots (if appropriate):
+
+## Types of changes
+<!--- What types of changes does your code introduce? Put an `x` in all the boxes that apply: -->
+- [ ] Bug fix (non-breaking change which fixes an issue)
+- [ ] New feature (non-breaking change which adds functionality)
+- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
+
+## Author's Checklist:
+<!--- Go over all the following points, and put an `x` in all the boxes that apply. -->
+<!--- If you're unsure about any of these, don't hesitate to ask. We're here to help! -->
+- [ ] My code focuses on the main motivation and avoids scope creep.
+- [ ] My code passes current tests and adds new tests where possible.
+- [ ] My code is [SOLID](https://en.wikipedia.org/wiki/SOLID_(object-oriented_design)) and [DRY](https://en.wikipedia.org/wiki/Don%27t_repeat_yourself).
+- [ ] I have updated the documentation as needed.
+
+## Reviewer's Checklist:
+- [ ] I kept my comments to the author positive, specific, and productive.
+- [ ] I tested the code and didn't find any new problems.
+- [ ] I think the motivation is good for the project.
+- [ ] I think the code works to satisfies the motivation.

README.md

@@ -246,3 +246,9 @@ Likely example see: [simple letter detection](./examples/which-letter-simple.js)
 Different neural nets do different things well.  For example:
 * A Feedforward Neural Network can classify simple things very well, but it has no memory of previous actions and has infinite variation of results.
 * A Recurrent Neural Network _remembers_, and has a finite set of results.
+
+# Get Involved!
+### Issues
+If you have an issue, either a bug or a feature you think would benefit your project let us know and we will do our best.
+
+Create issues [here](https://github.com/BrainJS/brain.js/issues) and follow the template.

bower.json

@@ -1,6 +1,6 @@
 {
   "name": "brain.js",
-  "homepage": "https://github.com/harthur-org/brain.js",
+  "homepage": "https://github.com/brainjs/brain.js",
   "authors": [
     "Heather Arthur <[email protected]>"
   ],
@@ -31,5 +31,5 @@
     "node_modules",
     "test"
   ],
-  "version": "1.0.0-rc.5"
+  "version": "1.0.3"
 }

browser.js

@@ -6,7 +6,7 @@
  *   license: MIT (http://opensource.org/licenses/MIT)
  *   author: Heather Arthur <[email protected]>
  *   homepage: https://github.com/brainjs/brain.js#readme
- *   version: 1.0.2
+ *   version: 1.0.3
  *
  * acorn:
  *   license: MIT (http://opensource.org/licenses/MIT)
@@ -1581,12 +1581,12 @@ var NeuralNetwork = function () {
         } else if (i === this.outputLayer && (!layer[0] || json.outputLookup)) {
           this.outputLookup = _lookup2.default.lookupFromHash(layer);
         }
-        if (layer > 0) {
+        if (i > 0) {
           var nodes = Object.keys(layer);
           this.sizes[i] = nodes.length;
           for (var j in nodes) {
             var node = nodes[j];
-            this.biases[i] = layer[node].bias;
+            this.biases[i][j] = layer[node].bias;
             this.weights[i][j] = (0, _toArray2.default)(layer[node].weights);
           }
         }
@@ -2479,6 +2479,44 @@ var Matrix = function () {
         weights: this.weights.slice(0)
       };
     }
+  }, {
+    key: 'weightsToArray',
+    value: function weightsToArray() {
+      var deltas = [];
+      var row = 0;
+      var column = 0;
+      for (var i = 0; i < this.weights.length; i++) {
+        if (column === 0) {
+          deltas.push([]);
+        }
+        deltas[row].push(this.weights[i]);
+        column++;
+        if (column >= this.columns) {
+          column = 0;
+          row++;
+        }
+      }
+      return deltas;
+    }
+  }, {
+    key: 'deltasToArray',
+    value: function deltasToArray() {
+      var deltas = [];
+      var row = 0;
+      var column = 0;
+      for (var i = 0; i < this.deltas.length; i++) {
+        if (column === 0) {
+          deltas.push([]);
+        }
+        deltas[row].push(this.deltas[i]);
+        column++;
+        if (column >= this.columns) {
+          column = 0;
+          row++;
+        }
+      }
+      return deltas;
+    }
   }], [{
     key: 'fromJSON',
     value: function fromJSON(json) {
@@ -4356,7 +4394,7 @@ var _randomWeight2 = _interopRequireDefault(_randomWeight);
 function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
 
 function randos(size) {
-  var array = new Array(size);
+  var array = new Float32Array(size);
   for (var i = 0; i < size; i++) {
     array[i] = (0, _randomWeight2.default)();
   }
@@ -4397,30 +4435,27 @@ exports.default = toArray;
  * @returns {*}
  */
 function toArray(values) {
-  values = values || [];
   if (Array.isArray(values)) {
     return values;
   } else {
-    return Object.keys(values).map(function (key) {
-      return values[key];
-    });
+    var keys = Object.keys(values);
+    var result = new Float32Array(keys.length);
+    for (var i in keys) {
+      result[i] = values[keys[i]];
+    }
+    return result;
   }
 }
 
 },{}],43:[function(require,module,exports){
-'use strict';
+"use strict";
 
 Object.defineProperty(exports, "__esModule", {
   value: true
 });
 exports.default = zeros;
 function zeros(size) {
-  if (typeof Float32Array !== 'undefined') return new Float32Array(size);
-  var array = new Array(size);
-  for (var i = 0; i < size; i++) {
-    array[i] = 0;
-  }
-  return array;
+  return new Float32Array(size);
 }
 
 },{}],44:[function(require,module,exports){