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weakly/readme.md

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@@ -5,22 +5,17 @@ Yipeng Hu
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## Tutorials
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There are two parts.
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### Training
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[Notebook][notebook_training]
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[Kaggle][kaggle_train]
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### Inference
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[Notebook][notebook_inference]
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[Kaggle][kaggle_inference]
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on [Notebook][notebook_training]
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### Inference
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on [Notebook][notebook_inference]
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### The porject
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on [Azure][azure]
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[azure]: https://notebooks.azure.com/yipeng-hu/projects/learn2reg-tutorials-weakly
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[notebook_training]: ./tutorial_training.ipynb
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[notebook_inference]: ./tutorial_inference.ipynb
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[kaggle_train]: ./tutorial_training.ipynb
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[kaggle_inference]: ./tutorial_inference.ipynb
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## Instructions for Kaggle enviroment settings:
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- to be validated
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## Instructions for Anaconda enviroment settings:
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### 1 - Install Anaconda
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### 2 - Install tensorflow
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In Anaconda Prompt, type:
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```
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conda create -n tensorflow_env tensorflow
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conda activate tensorflow_env
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```
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or
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```
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conda create -n tensorflow_gpuenv tensorflow-gpu
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conda activate tensorflow_gpuenv
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```
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### 3 - Install nibabel
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```
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conda install -c conda-forge nibabel
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```
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### 4 - Install notebook in tensorflow_env
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Use the Anaconda Navigator:
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Change the enviroment to tensorflow_env (or tensorflow_gpuenv)
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Click to install Jupyter Notebook
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Use the Anaconda Navigator:
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Change the enviroment to tensorflow_env (or tensorflow_gpuenv);
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Click to install Jupyter Notebook.
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### 5 - Open the notebook
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In Anaconda Navigator, click to launch the notebook
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or
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In Anaconda Navigator, click to launch the notebook. Or,
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In Anaconda Prompt, type:
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```
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conda activate tensorflow_env
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jupyter notebook
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jupyter notebook
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```

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