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From kaip...@apache.org
Subject [5/8] incubator-singa git commit: SINGA-305 - Add jupyter notebooks for SINGA V1 tutorial
Date Wed, 15 Mar 2017 09:16:31 GMT
http://git-wip-us.apache.org/repos/asf/incubator-singa/blob/5144bcf1/doc/en/docs/notebook/mlp.ipynb
----------------------------------------------------------------------
diff --git a/doc/en/docs/notebook/mlp.ipynb b/doc/en/docs/notebook/mlp.ipynb
index ea21ee6..5dcbe28 100755
--- a/doc/en/docs/notebook/mlp.ipynb
+++ b/doc/en/docs/notebook/mlp.ipynb
@@ -41,7 +41,7 @@
     "from singa import optimizer\n",
     "from singa import loss\n",
     "from singa import layer\n",
-    "from singa.proto import model_pb2"
+    "#from singa.proto import model_pb2"
    ]
   },
   {
@@ -52,7 +52,7 @@
     "\n",
     "## Training data generation\n",
     "\n",
-    "The following thress steps would be conducted to generate the training data.\n",
+    "The following steps would be conducted to generate the training data.\n",
     "1. draw a boundary line in the 2-d space \n",
     "2. generate data points in the 2-dspace\n",
     "3. label the data points above the boundary line as positive points, and label other points as negative points."
@@ -108,16 +108,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 5,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fcfcf3b5e50>"
+       "<matplotlib.figure.Figure at 0x7f68af50c890>"
       ]
      },
      "metadata": {},
@@ -138,13 +138,6 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Create the MLP model\n",
@@ -211,7 +204,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {
     "collapsed": false
    },
@@ -220,23 +213,23 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "training loss =  0.245654\n",
-      "training loss =  0.236532\n",
-      "training loss =  0.228489\n",
-      "training loss =  0.221329\n",
-      "training loss =  0.214903\n",
-      "training loss =  0.209094\n",
-      "training loss =  0.203810\n",
-      "training loss =  0.198976\n",
-      "training loss =  0.194531\n",
-      "training loss =  0.190426\n"
+      "training loss =  0.705488\n",
+      "training loss =  0.479273\n",
+      "training loss =  0.414510\n",
+      "training loss =  0.370120\n",
+      "training loss =  0.337781\n",
+      "training loss =  0.313082\n",
+      "training loss =  0.293514\n",
+      "training loss =  0.277555\n",
+      "training loss =  0.264237\n",
+      "training loss =  0.252912\n"
      ]
     },
     {
      "data": {
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