Minor fixes

Author: fchollet

chapter03_introduction-to-keras-and-tf.ipynb

@@ -590,7 +590,7 @@
     "def training_step(inputs, targets):\n",
     "    with tf.GradientTape() as tape:\n",
     "        predictions = model(inputs)\n",
-    "        loss = square_loss(predictions, targets)\n",
+    "        loss = square_loss(targets, predictions)\n",
     "    grad_loss_wrt_W, grad_loss_wrt_b = tape.gradient(loss, [W, b])\n",
     "    W.assign_sub(grad_loss_wrt_W * learning_rate)\n",
     "    b.assign_sub(grad_loss_wrt_b * learning_rate)\n",

chapter07_working-with-keras.ipynb

@@ -1329,8 +1329,8 @@
     "        with tf.GradientTape() as tape:\n",
     "            predictions = self(inputs, training=True)\n",
     "            loss = loss_fn(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",
     "\n",
     "        loss_tracker.update_state(loss)\n",
     "        return {\"loss\": loss_tracker.result()}\n",
@@ -1436,4 +1436,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}