Yipeng Hu
The complete tutorial can be run on Azure.
If you would like to run locally, there are two parts, the Training on Notebook and the Inference on Notebook.
For example, you can use a tested enviroment based on Anaconda:
In Anaconda Prompt, type:
conda create -n tensorflow_env tensorflow
conda activate tensorflow_env
or
conda create -n tensorflow_gpuenv tensorflow-gpu
conda activate tensorflow_gpuenv
conda install -c conda-forge nibabel
Use the Anaconda Navigator:
Change the enviroment to tensorflow_env (or tensorflow_gpuenv);
Click to install Jupyter Notebook.
In Anaconda Navigator, click to launch the notebook. Or,
In Anaconda Prompt, type:
conda activate tensorflow_env
jupyter notebook
This tutorial was adapted from the demo code on GitHub.