Updates to chapter 12 and chapter 16 notebooks

Author: mattdangerw

chapter12_object-detection.ipynb

@@ -618,11 +618,7 @@
    },
    "outputs": [],
    "source": [
-    "url = (\n",
-    "    \"https://upload.wikimedia.org/wikipedia/commons/thumb/7/7d/\"\n",
-    "    \"A_Sunday_on_La_Grande_Jatte%2C_Georges_Seurat%2C_1884.jpg/\"\n",
-    "    \"1280px-A_Sunday_on_La_Grande_Jatte%2C_Georges_Seurat%2C_1884.jpg\"\n",
-    ")\n",
+    "url = \"https://s3.us-east-1.amazonaws.com/book.keras.io/3e/seurat.jpg\"\n",
     "path = keras.utils.get_file(origin=url)\n",
     "image = np.array([keras.utils.load_img(path)])"
    ]

chapter16_text-generation.ipynb

@@ -180,7 +180,7 @@
    "source": [
     "import tensorflow as tf\n",
     "\n",
-    "batch_size = 128\n",
+    "batch_size = 64\n",
     "sequence_length = 256\n",
     "suffix = np.array([tokenizer.token_to_id(\"<|endoftext|>\")])\n",
     "\n",
@@ -206,7 +206,7 @@
    },
    "outputs": [],
    "source": [
-    "num_batches = 29373\n",
+    "num_batches = 58746\n",
     "num_val_batches = 500\n",
     "num_train_batches = num_batches - num_val_batches\n",
     "val_ds = ds.take(num_val_batches).repeat()\n",
@@ -359,6 +359,19 @@
     "plt.show()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "colab_type": "code"
+   },
+   "outputs": [],
+   "source": [
+    "# \u26a0\ufe0fNOTE\u26a0\ufe0f: If you can run the following with a Colab Pro GPU, we suggest you\n",
+    "# do so. This fit() call will take many hours on free tier GPUs. You can also\n",
+    "# reduce steps_per_epoch to try the code with a less trained model."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 0,