Created using Colab

Author: macsrc

ch15_explore.ipynb

@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyPgxd7O1QoOyi3/mqM6MmO6",
+      "authorship_tag": "ABX9TyPSsHslMTuprQrQlyl3voXt",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -40,10 +40,159 @@
     },
     {
       "cell_type": "code",
-      "source": [],
+      "source": [
+        "from packaging import version\n",
+        "import tensorflow as tf\n",
+        "\n",
+        "assert version.parse(tf.__version__) >= version.parse(\"2.8.0\")"
+      ],
       "metadata": {
         "id": "9apO34vPDaQT"
       },
+      "execution_count": 2,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import matplotlib.pyplot as plt\n",
+        "\n",
+        "plt.rc('font', size=14)\n",
+        "plt.rc('axis', labelsize=14, titlesize=14)\n",
+        "plt.rc('legend', fontsize=14)\n",
+        "plt.rc('xticks', labelsize=14)\n",
+        "plt.rc('yticks', labelsize=10)"
+      ],
+      "metadata": {
+        "id": "Vrt3lyeRGy1D"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from pathlib import Path\n",
+        "\n",
+        "IMAGE_PATH = Path()/ \"images\"/ \"rnn\"\n",
+        "IMAGE_PATH.mkdir(parents=True, exist_ok=True)\n",
+        "\n",
+        "def save_fig(fig_id, tight_layout=True, fig_extension=\"png\", resolution=300):\n",
+        "  path= IMAGE_PATH/ f\"{fig_id}.{fig_extension}\"\n",
+        "  if tight_layout:\n",
+        "    plt.tight_layout\n",
+        "  plt.savefig(path, fig_extension, dpi=resolution)\n",
+        ""
+      ],
+      "metadata": {
+        "id": "WMPngWvGHGcm"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "if not tf.config.list_physical_devices('GPU'):\n",
+        "  print(\"No GPU was detected. Neural nets can be very slow without a GPU.\")\n",
+        "  if \"google.colab\" in sys.modules:\n",
+        "    print(\"Go to Runtime > Change runtime and select a GPU hardware accelerator\")\n",
+        "  if \"kaggle_secrets\" in sys.modules:\n",
+        "    print(\"Go to Settings > Accelerator and select GPU.\")"
+      ],
+      "metadata": {
+        "id": "dJMoHuGbHGY2"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Basic RNNs"
+      ],
+      "metadata": {
+        "id": "YmxoI1BfPuCO"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "w_cBddUnHGWW"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "7kSxw0L5HGTG"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "gg2wpfqIHGQO"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "iT8p_OOfHGNl"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "okWmHPLOHGKl"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "sjvnxqIvHGFF"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "haKD9v2tHGCI"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "XXls8a3mHF82"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "OoLyAuxOHF29"
+      },
       "execution_count": null,
       "outputs": []
     }