Doc: update sidebar and quickstarts order. (#6743)
* doc: update sidebar and quickstarts order. * fix: adjust quickstart order. * fix: fix typo. * fix: fix typo.
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@ -10,13 +10,19 @@
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</label>
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<ul class="bigdl-quicklinks-section-nav">
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<li>
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<a href="doc/Orca/Howto/spark-dataframe.html">Use Spark DataFrames for Deep Learning</a>
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<a href="doc/Orca/QuickStart/orca-tf2keras-quickstart.html">TensorFlow 2 Quickstart</a>
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</li>
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<li>
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<a href="doc/Orca/QuickStart/orca-pytorch-distributed-quickstart.html">Distributed PyTorch using Orca</a>
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<a href="doc/Orca/QuickStart/orca-pytorch-quickstart.html">PyTorch Quickstart</a>
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</li>
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<li>
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<a href="doc/Orca/Howto/orca-autoxgboost-quickstart.html">Use AutoXGBoost to auto-tune XGBoost parameters</a>
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<a href="doc/Orca/QuickStart/ray-quickstart.html">RayOnSpark Quickstart</a>
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</li>
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<li>
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<a href="doc/Orca/QuickStart/orca-tf-quickstart.html">TensorFlow 1.15 Quickstart</a>
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</li>
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<li>
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<a href="doc/Orca/QuickStart/orca-keras-quickstart.html">Keras 2.3 Quickstart</a>
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</li>
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</ul>
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</li>
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@ -42,11 +42,11 @@ subtrees:
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title: "Quickstarts"
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subtrees:
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- entries:
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- file: doc/Orca/QuickStart/orca-tf-quickstart
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- file: doc/Orca/QuickStart/orca-tf2keras-quickstart
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- file: doc/Orca/QuickStart/orca-keras-quickstart
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- file: doc/Orca/QuickStart/orca-pytorch-quickstart
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- file: doc/Orca/QuickStart/ray-quickstart
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- file: doc/Orca/QuickStart/orca-tf-quickstart
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- file: doc/Orca/QuickStart/orca-keras-quickstart
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- file: doc/Orca/Howto/index
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title: "How-to Guides"
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subtrees:
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@ -1,7 +1,31 @@
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# Orca Quickstarts
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- [**Orca TensorFlow 1.15 Quickstart**](./orca-tf-quickstart.html)
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- [**TensorFlow 2 Quickstart**](./orca-tf2keras-quickstart.html)
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> [Run in Google Colab](https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/tf2_keras_lenet_mnist.ipynb) [View source on GitHub](https://github.com/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/tf2_keras_lenet_mnist.ipynb)
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In this guide we will describe how to scale out TensorFlow 2 programs using Orca in 5 simple steps.
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---------------------------
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- [**PyTorch Quickstart**](./orca-pytorch-quickstart.html)
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> [Run in Google Colab](https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/pytorch_lenet_mnist.ipynb) [View source on GitHub](https://github.com/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/pytorch_lenet_mnist.ipynb)
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In this guide we will describe how to scale out PyTorch programs using Orca in 5 simple steps.
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---------------------------
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- [**RayOnSpark Quickstart**](./ray-quickstart.html)
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> [Run in Google Colab](https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/ray_parameter_server.ipynb) [View source on GitHub](https://github.com/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/ray_parameter_server.ipynb)
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In this guide we will describe how to use RayOnSpark to directly run Ray programs on Big Data clusters in 2 simple steps.
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---------------------------
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- [**TensorFlow 1.15 Quickstart**](./orca-tf-quickstart.html)
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> [Run in Google Colab](https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/tf_lenet_mnist.ipynb) [View source on GitHub](https://github.com/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/tf_lenet_mnist.ipynb)
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@ -9,15 +33,7 @@
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---------------------------
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- [**Orca TensorFlow 2 Quickstart**](./orca-tf2keras-quickstart.html)
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> [Run in Google Colab](https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/tf2_keras_lenet_mnist.ipynb) [View source on GitHub](https://github.com/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/tf2_keras_lenet_mnist.ipynb)
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In this guide we will describe how to to scale out TensorFlow 2 programs using Orca in 4 simple steps.
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---------------------------
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- [**Orca Keras 2.3 Quickstart**](./orca-keras-quickstart.html)
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- [**Keras 2.3 Quickstart**](./orca-keras-quickstart.html)
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> [Run in Google Colab](https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/keras_lenet_mnist.ipynb) [View source on GitHub](https://github.com/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/keras_lenet_mnist.ipynb)
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@ -25,20 +41,3 @@
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---------------------------
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- [**Orca PyTorch Quickstart**](./orca-pytorch-quickstart.html)
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> [Run in Google Colab](https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/pytorch_lenet_mnist.ipynb) [View source on GitHub](https://github.com/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/pytorch_lenet_mnist.ipynb)
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In this guide we will describe how to scale out PyTorch programs using Orca in 4 simple steps.
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---------------------------
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- [**Orca RayOnSpark Quickstart**](./ray-quickstart.html)
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> [Run in Google Colab](https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/ray_parameter_server.ipynb) [View source on GitHub](https://github.com/intel-analytics/BigDL/blob/main/python/orca/colab-notebook/quickstart/ray_parameter_server.ipynb)
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In this guide, we will describe how to use RayOnSpark to directly run Ray programs on Big Data clusters in 2 simple steps.
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---------------------------
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