5346ef45d8
* feat: update orca-in-5-minutes to tf2 estimator. * fix: fix code and tensorflow version. * fix: fix typo. * fix: add config in estiamtor construction. * feat: add random split to dataframe. * fix: fix typo. * feat: add test data in fit. * fix: update link branch to main * fix: fix typo.
44 lines
3 KiB
Markdown
44 lines
3 KiB
Markdown
# Orca Quickstarts
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- [**Orca 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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In this guide we will describe how to scale out TensorFlow 1.15 programs using Orca in 4 simple steps.
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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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- [**Orca 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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In this guide we will describe how to scale out Keras 2.3 programs using Orca in 4 simple steps.
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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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- [**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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