diff --git a/17_autoencoders_gans_and_diffusion_models.ipynb b/17_autoencoders_gans_and_diffusion_models.ipynb
index fa693a2..d8c727c 100644
--- a/17_autoencoders_gans_and_diffusion_models.ipynb
+++ b/17_autoencoders_gans_and_diffusion_models.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**Chapter 17 – Representation Learning and Generative Learning with Autoencoders, GANs, and Diffusion Models**"
+    "**Chapter 17 – Autoencoders, GANs, and Diffusion Models**"
    ]
   },
   {
diff --git a/README.md b/README.md
index 0de1bd0..e433d90 100644
--- a/README.md
+++ b/README.md
@@ -17,11 +17,11 @@ Use any of the following services (I recommended Colab or Kaggle, since they off
 
 * <a href="https://colab.research.google.com/github/ageron/handson-ml3/blob/main/" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
 
-* <a href="https://homl.info/kaggle/"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open in Kaggle" /></a>
+* <a href="https://homl.info/kaggle3/"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open in Kaggle" /></a>
 
 * <a href="https://mybinder.org/v2/gh/ageron/handson-ml3/HEAD?filepath=%2Findex.ipynb"><img src="https://mybinder.org/badge_logo.svg" alt="Launch binder" /></a>
 
-* <a href="https://homl.info/deepnote/"><img src="https://deepnote.com/buttons/launch-in-deepnote-small.svg" alt="Launch in Deepnote" /></a>
+* <a href="https://homl.info/deepnote3/"><img src="https://deepnote.com/buttons/launch-in-deepnote-small.svg" alt="Launch in Deepnote" /></a>
 
 ### Just want to quickly look at some notebooks, without executing any code?
 
diff --git a/index.ipynb b/index.ipynb
index c0816ec..d211426 100644
--- a/index.ipynb
+++ b/index.ipynb
@@ -15,7 +15,7 @@
     "    <a href=\"https://colab.research.google.com/github/ageron/handson-ml3/blob/main/index.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
     "  </td>\n",
     "  <td>\n",
-    "    <a target=\"_blank\" href=\"https://homl.info/kaggle/\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" /></a>\n",
+    "    <a target=\"_blank\" href=\"https://homl.info/kaggle3/\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" /></a>\n",
     "  </td>\n",
     "</table>"
    ]
@@ -41,7 +41,7 @@
     "14. [Deep Computer Vision Using Convolutional Neural Networks](14_deep_computer_vision_with_cnns.ipynb)\n",
     "15. [Processing Sequences Using RNNs and CNNs](15_processing_sequences_using_rnns_and_cnns.ipynb)\n",
     "16. [Natural Language Processing with RNNs and Attention](16_nlp_with_rnns_and_attention.ipynb)\n",
-    "17. [Representation Learning and Generative Learning Using Autencoders and GANs](17_autoencoders_and_gans.ipynb)\n",
+    "17. [Autoencoders, GANs, and Diffusion Models](17_autoencoders_gans_and_diffusion_models.ipynb)\n",
     "18. [Reinforcement Learning](18_reinforcement_learning.ipynb)\n",
     "19. [Training and Deploying TensorFlow Models at Scale](19_training_and_deploying_at_scale.ipynb)"
    ]
@@ -130,7 +130,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.10.6"
   },
   "nav_menu": {},
   "toc": {