From 692b67419658a8d375642b58af1c5655af993482 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Aur=C3=A9lien=20Geron?= <ageron@users.noreply.github.com>
Date: Tue, 6 Jun 2017 14:26:26 +0200
Subject: [PATCH] Use 'np.random' rather than 'import numpy.random as rnd'

---
 03_classification.ipynb | 27 ++++++++++++++++++---------
 1 file changed, 18 insertions(+), 9 deletions(-)

diff --git a/03_classification.ipynb b/03_classification.ipynb
index 087766b..01207f4 100644
--- a/03_classification.ipynb
+++ b/03_classification.ipynb
@@ -47,11 +47,10 @@
     "\n",
     "# Common imports\n",
     "import numpy as np\n",
-    "import numpy.random as rnd\n",
     "import os\n",
     "\n",
     "# to make this notebook's output stable across runs\n",
-    "rnd.seed(42)\n",
+    "np.random.seed(42)\n",
     "\n",
     "# To plot pretty figures\n",
     "%matplotlib inline\n",
@@ -779,7 +778,9 @@
    "cell_type": "code",
    "execution_count": 45,
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -793,7 +794,9 @@
    "cell_type": "code",
    "execution_count": 46,
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -927,7 +930,9 @@
    "cell_type": "code",
    "execution_count": 60,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -1056,7 +1061,9 @@
    "cell_type": "code",
    "execution_count": 69,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -1083,7 +1090,9 @@
    "cell_type": "code",
    "execution_count": 71,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
    },
    "outputs": [],
    "source": [
@@ -1195,9 +1204,9 @@
    },
    "outputs": [],
    "source": [
-    "noise = rnd.randint(0, 100, (len(X_train), 784))\n",
+    "noise = np.random.randint(0, 100, (len(X_train), 784))\n",
     "X_train_mod = X_train + noise\n",
-    "noise = rnd.randint(0, 100, (len(X_test), 784))\n",
+    "noise = np.random.randint(0, 100, (len(X_test), 784))\n",
     "X_test_mod = X_test + noise\n",
     "y_train_mod = X_train\n",
     "y_test_mod = X_test"