fixed minor errors

fastai · Aug 16, 2017 · 7a3b397 · 7a3b397
1 parent 1f701b9
commit 7a3b397
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Showing 2 changed files with 21 additions and 20 deletions.
diff --git a/deeplearning2/densenet-keras.ipynb b/deeplearning2/densenet-keras.ipynb
@@ -3,7 +3,9 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -180,7 +182,9 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -569,6 +573,7 @@
    "cell_type": "code",
    "execution_count": 21,
    "metadata": {
+    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -649,7 +654,9 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -697,6 +704,7 @@
    "cell_type": "code",
    "execution_count": 26,
    "metadata": {
+    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -779,6 +787,7 @@
    "cell_type": "code",
    "execution_count": 28,
    "metadata": {
+    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -900,6 +909,7 @@
    "cell_type": "code",
    "execution_count": 30,
    "metadata": {
+    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -981,6 +991,7 @@
    "cell_type": "code",
    "execution_count": 32,
    "metadata": {
+    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -1047,6 +1058,7 @@
    "cell_type": "code",
    "execution_count": 34,
    "metadata": {
+    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -1123,7 +1135,9 @@
   {
    "cell_type": "code",
    "execution_count": 35,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -1174,7 +1188,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.0"
+   "version": "3.6.2"
   }
  },
  "nbformat": 4,

diff --git a/deeplearning2/imagenet_process.ipynb b/deeplearning2/imagenet_process.ipynb
@@ -184,7 +184,7 @@
    },
    "outputs": [],
    "source": [
-    "model = word2vec.Word2Vec.load_word2vec_format(w2v_path+'.bin', binary=True)\n",
+    "model = word2vec.KeyedVectors.load_word2vec_format(w2v_path+'.bin', binary=True)\n",
     "model.save_word2vec_format(w2v_path+'.txt', binary=False)"
    ]
   },
@@ -1421,19 +1421,6 @@
     "lm.compile('adam','cosine_proximity')"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {
-    "collapsed": false,
-    "deletable": true,
-    "editable": true
-   },
-   "outputs": [],
-   "source": [
-    "v = np.concatenate([vecs, vecs])"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 68,
@@ -1455,7 +1442,7 @@
     }
    ],
    "source": [
-    "lm.evaluate(features_last, v, verbose=0)"
+    "lm.evaluate(features_last, vecs, verbose=0)"
    ]
   },
   {