Merge pull request #182 from krs131099/master

Edited codeblock 7.26: Made the CustomModel independent of previous model.

Author: fchollet

chapter07_working-with-keras.ipynb

@@ -1372,8 +1372,8 @@
     "        with tf.GradientTape() as tape:\n",
     "            predictions = self(inputs, training=True)\n",
     "            loss = self.compiled_loss(targets, predictions)\n",
-    "        gradients = tape.gradient(loss, model.trainable_weights)\n",
-    "        optimizer.apply_gradients(zip(gradients, model.trainable_weights))\n",
+    "        gradients = tape.gradient(loss, self.trainable_weights)\n",
+    "        self.optimizer.apply_gradients(zip(gradients, self.trainable_weights))\n",
     "        self.compiled_metrics.update_state(targets, predictions)\n",
     "        return {m.name: m.result() for m in self.metrics}"
    ]
@@ -1436,4 +1436,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}