diff --git a/15_processing_sequences_using_rnns_and_cnns.ipynb b/15_processing_sequences_using_rnns_and_cnns.ipynb
index 99dba80..d1410b3 100644
--- a/15_processing_sequences_using_rnns_and_cnns.ipynb
+++ b/15_processing_sequences_using_rnns_and_cnns.ipynb
@@ -162,12 +162,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "def plot_series(series, y=None, y_pred=None, x_label=\"$t$\", y_label=\"$x(t)$\"):\n",
+    "def plot_series(series, y=None, y_pred=None, x_label=\"$t$\", y_label=\"$x(t)$\", legend=True):\n",
     "    plt.plot(series, \".-\")\n",
     "    if y is not None:\n",
-    "        plt.plot(n_steps, y, \"bx\", markersize=10)\n",
+    "        plt.plot(n_steps, y, \"bo\", label=\"Target\")\n",
     "    if y_pred is not None:\n",
-    "        plt.plot(n_steps, y_pred, \"ro\")\n",
+    "        plt.plot(n_steps, y_pred, \"rx\", markersize=10, label=\"Prediction\")\n",
     "    plt.grid(True)\n",
     "    if x_label:\n",
     "        plt.xlabel(x_label, fontsize=16)\n",
@@ -175,16 +175,26 @@
     "        plt.ylabel(y_label, fontsize=16, rotation=0)\n",
     "    plt.hlines(0, 0, 100, linewidth=1)\n",
     "    plt.axis([0, n_steps + 1, -1, 1])\n",
+    "    if legend and (y or y_pred):\n",
+    "        plt.legend(fontsize=14, loc=\"upper left\")\n",
     "\n",
     "fig, axes = plt.subplots(nrows=1, ncols=3, sharey=True, figsize=(12, 4))\n",
     "for col in range(3):\n",
     "    plt.sca(axes[col])\n",
     "    plot_series(X_valid[col, :, 0], y_valid[col, 0],\n",
-    "                y_label=(\"$x(t)$\" if col==0 else None))\n",
+    "                y_label=(\"$x(t)$\" if col==0 else None),\n",
+    "                legend=(col == 0))\n",
     "save_fig(\"time_series_plot\")\n",
     "plt.show()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Note**: in this notebook, the blue dots represent targets, and red crosses represent predictions. In the book, I first used blue crosses for targets and red dots for predictions, then I reversed this later in the chapter. Sorry if this caused some confusion."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -499,8 +509,8 @@
     "    n_steps = X.shape[1]\n",
     "    ahead = Y.shape[1]\n",
     "    plot_series(X[0, :, 0])\n",
-    "    plt.plot(np.arange(n_steps, n_steps + ahead), Y[0, :, 0], \"ro-\", label=\"Actual\")\n",
-    "    plt.plot(np.arange(n_steps, n_steps + ahead), Y_pred[0, :, 0], \"bx-\", label=\"Forecast\", markersize=10)\n",
+    "    plt.plot(np.arange(n_steps, n_steps + ahead), Y[0, :, 0], \"bo-\", label=\"Actual\")\n",
+    "    plt.plot(np.arange(n_steps, n_steps + ahead), Y_pred[0, :, 0], \"rx-\", label=\"Forecast\", markersize=10)\n",
     "    plt.axis([0, n_steps + ahead, -1, 1])\n",
     "    plt.legend(fontsize=14)\n",
     "\n",