Update notebooks

Author: mattdangerw

chapter07_deep-dive-keras.ipynb

@@ -6,7 +6,7 @@
     "colab_type": "text"
    },
    "source": [
-    "This is a companion notebook for the book [Deep Learning with Python, Third Edition](https://www.manning.com/books/deep-learning-with-python-third-edition). For readability, it only contains runnable code blocks and section titles, and omits everything else in the book: text paragraphs, figures, and pseudocode.\n\n**If you want to be able to follow what's going on, I recommend reading the notebook side by side with your copy of the book.**\n\nThe book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io).\n"
+    "This is a companion notebook for the book [Deep Learning with Python, Third Edition](https://www.manning.com/books/deep-learning-with-python-third-edition). For readability, it only contains runnable code blocks and section titles, and omits everything else in the book: text paragraphs, figures, and pseudocode.\n\n**If you want to be able to follow what's going on, I recommend reading the notebook side by side with your copy of the book.**\n\nThe book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
    ]
   },
   {

chapter11_image-segmentation.ipynb

@@ -259,6 +259,19 @@
     "model = get_model(img_size=img_size, num_classes=3)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "colab_type": "code"
+   },
+   "outputs": [],
+   "source": [
+    "# \u26a0\ufe0fNOTE\u26a0\ufe0f: The following IoU metric is *very* slow on the PyTorch backend!\n",
+    "# If you are running with PyTorch, we recommend re-running the notebook with Jax\n",
+    "# or TensorFlow, or skipping to the next section of this chapter."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 0,

chapter14_text-classification.ipynb

@@ -1106,6 +1106,22 @@
     "model.summary(line_length=80)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "colab_type": "code"
+   },
+   "outputs": [],
+   "source": [
+    "# \u26a0\ufe0fNOTE\u26a0\ufe0f: The following fit call will error on a T4 GPU on the TensorFlow\n",
+    "# backend due to a bug in TensorFlow. If you the follow cell errors out,\n",
+    "# do one of the following:\n",
+    "# - Skip the following two cells.\n",
+    "# - Switch to the Jax or Torch backend and re-run this notebook.\n",
+    "# - Change the GPU type in your runtime (requires Colab Pro as of this writing)."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 0,

chapter16_text-generation.ipynb

@@ -6,7 +6,7 @@
     "colab_type": "text"
    },
    "source": [
-    "This is a companion notebook for the book [Deep Learning with Python, Third Edition](https://www.manning.com/books/deep-learning-with-python-third-edition). For readability, it only contains runnable code blocks and section titles, and omits everything else in the book: text paragraphs, figures, and pseudocode.\n\n**If you want to be able to follow what's going on, I recommend reading the notebook side by side with your copy of the book.**\n\nThe book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
+    "This is a companion notebook for the book [Deep Learning with Python, Third Edition](https://www.manning.com/books/deep-learning-with-python-third-edition). For readability, it only contains runnable code blocks and section titles, and omits everything else in the book: text paragraphs, figures, and pseudocode.\n\n**If you want to be able to follow what's going on, I recommend reading the notebook side by side with your copy of the book.**\n\nThe book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io).\n"
    ]
   },
   {
@@ -972,9 +972,9 @@
    },
    "outputs": [],
    "source": [
-    "# NOTE: If you are running on the free tier Colab GPUs, you will need to restart\n",
-    "# your runtime and run the notebook from here to free up memory for this\n",
-    "# 4 billion parameter model.\n",
+    "# \u26a0\ufe0fNOTE\u26a0\ufe0f: If you are running on the free tier Colab GPUs, you will need to\n",
+    "# restart your runtime and run the notebook from here to free up memory for\n",
+    "# this 4 billion parameter model.\n",
     "import os\n",
     "\n",
     "os.environ[\"KERAS_BACKEND\"] = \"jax\"\n",