From 714c9f2521f706044ee3d0a2b12a35057e128b21 Mon Sep 17 00:00:00 2001
From: bckenstler <bckenstler@dons.usfca.edu>
Date: Wed, 16 Aug 2017 00:07:55 -0700
Subject: [PATCH] fixed minor errors

---
 deeplearning2/spelling_bee_RNN.ipynb | 4 ++--
 deeplearning2/tiramisu-pytorch.ipynb | 4 ++--
 deeplearning2/translate.ipynb        | 2 +-
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/deeplearning2/spelling_bee_RNN.ipynb b/deeplearning2/spelling_bee_RNN.ipynb
index cc4e1bb7c..1febbfce2 100644
--- a/deeplearning2/spelling_bee_RNN.ipynb
+++ b/deeplearning2/spelling_bee_RNN.ipynb
@@ -1508,7 +1508,7 @@
  "metadata": {
   "anaconda-cloud": {},
   "kernelspec": {
-   "display_name": "Python [default]",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -1522,7 +1522,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.0"
+   "version": "3.6.2"
   }
  },
  "nbformat": 4,
diff --git a/deeplearning2/tiramisu-pytorch.ipynb b/deeplearning2/tiramisu-pytorch.ipynb
index cdf9aff28..cc4a09a29 100644
--- a/deeplearning2/tiramisu-pytorch.ipynb
+++ b/deeplearning2/tiramisu-pytorch.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "metadata": {
     "collapsed": true
    },
@@ -313,7 +313,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.0"
+   "version": "3.6.2"
   },
   "latex_envs": {
    "LaTeX_envs_menu_present": true,
diff --git a/deeplearning2/translate.ipynb b/deeplearning2/translate.ipynb
index d799c3ea1..02da6a7fb 100644
--- a/deeplearning2/translate.ipynb
+++ b/deeplearning2/translate.ipynb
@@ -473,7 +473,7 @@
    "outputs": [],
    "source": [
     "w2v_path='/data/jhoward/datasets/nlp/frWac_non_lem_no_postag_no_phrase_200_skip_cut100.bin'\n",
-    "fr_model = word2vec.Word2Vec.load_word2vec_format(w2v_path, binary=True)\n",
+    "fr_model = word2vec.KeyedVectors.load_word2vec_format(w2v_path, binary=True)\n",
     "fr_voc = fr_model.vocab"
    ]
   },