Fix my_reber_classifier path (fixes ageron#267)

ajmisquitta · Jul 30, 2018 · ad2641d · ad2641d
1 parent 5b9bd52
commit ad2641d
Showing 1 changed file with 3 additions and 3 deletions.
diff --git a/14_recurrent_neural_networks.ipynb b/14_recurrent_neural_networks.ipynb
@@ -3390,7 +3390,7 @@
     "        acc_val = accuracy.eval(feed_dict={X: X_val, seq_length: l_val, y: y_val})\n",
     "        print(\"{:4d}  Train loss: {:.4f}, accuracy: {:.2f}%  Validation accuracy: {:.2f}%\".format(\n",
     "            epoch, loss_val, 100 * acc_train, 100 * acc_val))\n",
-    "        saver.save(sess, \"my_reber_classifier\")"
+    "        saver.save(sess, \"./my_reber_classifier\")"
    ]
   },
   {
@@ -3409,7 +3409,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "INFO:tensorflow:Restoring parameters from my_reber_classifier\n",
+      "INFO:tensorflow:Restoring parameters from ./my_reber_classifier\n",
       "\n",
       "Estimated probability that these are Reber strings:\n",
       "BPBTSSSSSSSSSSSSXXTTTTTVPXTTVPXTTTTTTTVPXVPXVPXTTTVVETE: 0.00%\n",
@@ -3427,7 +3427,7 @@
     "          for s in test_strings]\n",
     "\n",
     "with tf.Session() as sess:\n",
-    "    saver.restore(sess, \"my_reber_classifier\")\n",
+    "    saver.restore(sess, \"./my_reber_classifier\")\n",
     "    y_proba_val = y_proba.eval(feed_dict={X: X_test, seq_length: l_test})\n",
     "\n",
     "print()\n",