fix-tutorils

doc/source/tune/_tutorials/overview.rst

@@ -3,8 +3,6 @@ Tutorials
 
 .. tip:: We'd love to hear your feedback on using Tune - fill out a `short survey <https://forms.gle/PTRvGLbKRdUfuzQo9>`_!
 
-.. tip:: We'd love to hear your feedback on using Tune - fill out a `short survey <https://forms.gle/PTRvGLbKRdUfuzQo9>`_!
-
 In this section, you can find material on how to use Tune and its various features. If any of the materials is out of date or broken, or if you'd like to add an example to this page, feel free to raise an issue on our Github repository.
 
 Take a look at any of the below tutorials to get started with Tune.
@@ -14,23 +12,54 @@ Take a look at any of the below tutorials to get started with Tune.
     <div class="sphx-glr-bigcontainer">
 
 .. customgalleryitem::
-   :tooltip: Tune concepts in 60 seconds.
+   :tooltip: Key concepts in 60 seconds.
    :figure: /images/tune-workflow.png
-   :description: :doc:`Tune concepts in 60 seconds <tune-60-seconds>`
+   :description: :doc:`Key concepts in 60 seconds </tune/key-concepts>`
 
 .. customgalleryitem::
    :tooltip: A simple Tune walkthrough.
    :figure: /images/tune.png
    :description: :doc:`A walkthrough to setup your first Tune experiment <tune-tutorial>`
 
+.. customgalleryitem::
+   :tooltip: A simple guide to Population-based Training
+   :figure: /images/tune-pbt-small.png
+   :description: :doc:`A simple guide to Population-based Training <tune-advanced-tutorial>`
+
+.. customgalleryitem::
+   :tooltip: A guide to distributed hyperparameter tuning
+   :figure: /images/tune.png
+   :description: :doc:`A guide to distributed hyperparameter tuning <tune-distributed>`
+
+.. customgalleryitem::
+   :tooltip: Tune's Scikit-Learn Adapters
+   :figure: /images/tune-sklearn.png
+   :description: :doc:`Tune's Scikit-Learn Adapters <tune-sklearn>`
+
+.. customgalleryitem::
+   :tooltip: How to use Tune with PyTorch
+   :figure: /images/pytorch_logo.png
+   :description: :doc:`How to use Tune with PyTorch <tune-pytorch-cifar>`
+
+.. customgalleryitem::
+   :tooltip: Tuning PyTorch Lightning modules
+   :figure: /images/pytorch_lightning_small.png
+   :description: :doc:`Tuning PyTorch Lightning modules <tune-pytorch-lightning>`
+
+.. customgalleryitem::
+   :tooltip: Tuning XGBoost parameters.
+   :figure: /images/xgboost_logo.png
+   :description: :doc:`A guide to tuning XGBoost parameters with Tune <tune-xgboost>`
+
+
 .. raw:: html
 
     </div>
 
+
 .. toctree::
    :hidden:
 
-   tune-60-seconds.rst
    tune-tutorial.rst
    tune-advanced-tutorial.rst
    tune-distributed.rst

doc/source/tune/index.rst

@@ -15,7 +15,7 @@ Tune is a Python library for experiment execution and hyperparameter tuning at a
 
 .. _`Ray Serve`: serve/index.html
 
-**Want to get started?** Head over to the :ref:`60 second Tune tutorial <tune-60-seconds>`.
+**Want to get started?** Head over to the :doc:`Key Concepts page </tune/key-concepts>`.
 
 .. tip:: We'd love to hear your feedback on using Tune - fill out a `short survey <https://forms.gle/PTRvGLbKRdUfuzQo9>`_!
 

doc/source/tune/key-concepts.rst

@@ -1,3 +1,5 @@
+.. _tune-60-seconds:
+
 ============
 Key Concepts
 ============
@@ -192,7 +194,7 @@ Now that you have a working understanding of Tune, check out:
  * :doc:`/tune/user-guide`: A comprehensive overview of Tune's features.
  * :doc:`/tune/examples/index`: Examples and templates for using Tune with your preferred machine learning library.
  * :ref:`tune-tutorial`: A simple tutorial that walks you through the process of setting up a Tune experiment.
- 
+
 
 Further Questions or Issues?
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~