add colab link

chapter02_mathematical-building-blocks.ipynb

@@ -1,12 +1,25 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a href=\"https://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter02_mathematical-building-blocks.ipynb\" target=\"_blank\">\n",
+    "  <img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\">\n",
+    "</a>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
     "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",
+    "\n",
+    "The book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
    ]
   },
   {

chapter03_introduction-to-ml-frameworks.ipynb

@@ -1,12 +1,25 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a href=\"https://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter03_introduction-to-ml-frameworks.ipynb\" target=\"_blank\">\n",
+    "  <img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\">\n",
+    "</a>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
     "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",
+    "\n",
+    "The book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
    ]
   },
   {
@@ -1776,4 +1789,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}

chapter04_classification-and-regression.ipynb

@@ -1,12 +1,25 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a href=\"https://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter04_classification-and-regression.ipynb\" target=\"_blank\">\n",
+    "  <img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\">\n",
+    "</a>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
     "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",
+    "\n",
+    "The book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
    ]
   },
   {
@@ -1302,4 +1315,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}

chapter05_fundamentals-of-ml.ipynb

@@ -1,12 +1,25 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a href=\"https://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter05_fundamentals-of-ml.ipynb\" target=\"_blank\">\n",
+    "  <img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\">\n",
+    "</a>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
     "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",
+    "\n",
+    "The book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
    ]
   },
   {
@@ -982,4 +995,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}

chapter07_deep-dive-keras.ipynb

@@ -1,12 +1,25 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a href=\"https://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter07_deep-dive-keras.ipynb\" target=\"_blank\">\n",
+    "  <img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\">\n",
+    "</a>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
     "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",
+    "\n",
+    "The book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
    ]
   },
   {
@@ -1831,4 +1844,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}

chapter08_image-classification.ipynb

@@ -1,12 +1,25 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a href=\"https://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter08_image-classification.ipynb\" target=\"_blank\">\n",
+    "  <img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\">\n",
+    "</a>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
     "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",
+    "\n",
+    "The book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
    ]
   },
   {
@@ -1027,4 +1040,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}

chapter09_convnet-architecture-patterns.ipynb

@@ -1,12 +1,25 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a href=\"https://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter09_convnet-architecture-patterns.ipynb\" target=\"_blank\">\n",
+    "  <img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\">\n",
+    "</a>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
     "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",
+    "\n",
+    "The book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
    ]
   },
   {
@@ -378,4 +391,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}

chapter10_interpreting-what-convnets-learn.ipynb

@@ -1,12 +1,25 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a href=\"https://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter10_interpreting-what-convnets-learn.ipynb\" target=\"_blank\">\n",
+    "  <img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\">\n",
+    "</a>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
     "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",
+    "\n",
+    "The book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
    ]
   },
   {
@@ -824,4 +837,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}

chapter11_image-segmentation.ipynb

@@ -1,12 +1,25 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a href=\"https://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter11_image-segmentation.ipynb\" target=\"_blank\">\n",
+    "  <img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\">\n",
+    "</a>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
     "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",
+    "\n",
+    "The book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
    ]
   },
   {
@@ -267,7 +280,7 @@
    },
    "outputs": [],
    "source": [
-    "# \u26a0\ufe0fNOTE\u26a0\ufe0f: The following IoU metric is *very* slow on the PyTorch backend!\n",
+    "# ⚠️NOTE⚠️: 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."
    ]
@@ -698,4 +711,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}

chapter12_object-detection.ipynb

@@ -1,12 +1,25 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a href=\"https://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter12_object-detection.ipynb\" target=\"_blank\">\n",
+    "  <img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\">\n",
+    "</a>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
     "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",
+    "\n",
+    "The book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
    ]
   },
   {
@@ -709,4 +722,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}

chapter13_timeseries-forecasting.ipynb

@@ -1,12 +1,25 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a href=\"https://colab.research.google.com/github/fchollet/deep-learning-with-python-notebooks/blob/master/chapter13_timeseries-forecasting.ipynb\" target=\"_blank\">\n",
+    "  <img alt=\"Open In Colab\" src=\"https://colab.research.google.com/assets/colab-badge.svg\">\n",
+    "</a>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
     "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",
+    "\n",
+    "The book's contents are available online at [deeplearningwithpython.io](https://deeplearningwithpython.io)."
    ]
   },
   {
@@ -711,4 +724,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}