Minor edit

Author: krasserm

latent_variable_models_part_2.ipynb

@@ -353,15 +353,15 @@
     "    x_rc = model.decode(t)\n",
     "    \n",
     "    # Expected negative reconstruction error\n",
-    "    rc_error = -tf.reduce_sum(binary_crossentropy(x, x_rc), axis=[1, 2])\n",
+    "    neg_rc_error = -tf.reduce_sum(binary_crossentropy(x, x_rc), axis=[1, 2])\n",
     "\n",
-    "    # Regularization term (KL divergence)\n",
-    "    kl_div = 0.5 * tf.reduce_sum(1 + q_log_var \\\n",
-    "                             - tf.square(q_mean) \\\n",
-    "                             - tf.exp(q_log_var), axis=-1)\n",
+    "    # Regularization term (negative KL divergence)\n",
+    "    neg_kl_div = 0.5 * tf.reduce_sum(1 + q_log_var \\\n",
+    "                                 - tf.square(q_mean) \\\n",
+    "                                 - tf.exp(q_log_var), axis=-1)\n",
     "    \n",
     "    # Average over mini-batch (of size M)\n",
-    "    return tf.reduce_mean(rc_error + kl_div)"
+    "    return tf.reduce_mean(neg_rc_error + neg_kl_div)"
    ]
   },
   {
@@ -622,4 +622,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}