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add hpo tutorial (#5011)

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Shane Huang 2022-07-04 17:23:33 +08:00 committed by GitHub
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docs/readthedocs/source/doc/Nano/QuickStart/index.md
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In this guide we will describe how to obtain a quantized model with the APIs delivered by BigDL-Nano
---------------------------
- [**BigDL-Nano Hyperparameter Tuning (Tensorflow Sequential/Functional API) Quickstart**](./pytorch_quantization_openvino.html)
> ![](../../../../image/colab_logo_32px.png)[Run in Google Colab][Nano_hpo_tf_seq_func_colab]  ![](../../../../image/GitHub-Mark-32px.png)[View source on GitHub][Nano_hpo_tf_seq_func]
In this guide we will describe how to use Nano's built-in HPO utils to do hyperparameter tuning for models defined using Tensorflow Sequential or Functional API.
---------------------------
- [**BigDL-Nano Hyperparameter Tuning (Tensorflow Subclassing Model) Quickstart**](./pytorch_quantization_openvino.html)
> ![](../../../../image/colab_logo_32px.png)[Run in Google Colab][Nano_hpo_tf_subclassing_colab]  ![](../../../../image/GitHub-Mark-32px.png)[View source on GitHub][Nano_hpo_tf_subclassing]
In this guide we will describe how to use Nano's built-in HPO utils to do hyperparameter tuning for models defined by subclassing tf.keras.Model.
[Nano_pytorch_training]: <https://github.com/intel-analytics/BigDL/blob/main/python/nano/notebooks/pytorch/tutorial/pytorch_train.ipynb>
[Nano_pytorch_onnxruntime]: <https://github.com/intel-analytics/BigDL/blob/main/python/nano/notebooks/pytorch/tutorial/pytorch_inference_onnx.ipynb>
[Nano_pytorch_openvino]: <https://github.com/intel-analytics/BigDL/blob/main/python/nano/notebooks/pytorch/tutorial/pytorch_inference_openvino.ipynb>
[Nano_pytorch_Quantization_inc]: <https://github.com/intel-analytics/BigDL/blob/main/python/nano/notebooks/pytorch/tutorial/pytorch_quantization_inc.ipynb>
[Nano_pytorch_quantization_inc_onnx]: <https://github.com/intel-analytics/BigDL/blob/main/python/nano/notebooks/pytorch/tutorial/pytorch_quantization_inc.ipynb>
[Nano_pytorch_quantization_openvino]: <https://github.com/intel-analytics/BigDL/blob/main/python/nano/notebooks/pytorch/tutorial/pytorch_quantization_openvino.ipynb>
[Nano_hpo_tf_seq_func]: <https://github.com/intel-analytics/BigDL/blob/main/python/nano/notebooks/hpo/seq_and_func.ipynb>
[Nano_hpo_tf_seq_func_colab]: <https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/python/nano/notebooks/hpo/seq_and_func.ipynb>
[Nano_hpo_tf_subclassing]: <https://github.com/intel-analytics/BigDL/blob/main/python/nano/notebooks/hpo/custom.ipynb>
[Nano_hpo_tf_subclassing_colab]: <https://colab.research.google.com/github/intel-analytics/BigDL/blob/main/python/nano/notebooks/hpo/custom.ipynb>