If your AWS, Azure or any other remote server has GPU, you would like to run you model on them.
Maybe tensorflow, keras, or sklean.
Just follow these steps:
Install Docker and Cuda driver on your server.
Run tensorflow and jupyter container on your server.
docker run -p 8888:8888 quay.io/jupyter/scipy-notebook:2023-10-31
For more detail on this Docker image, please refer to docker-stacks.
From previous step, you will get the output from
docker run, it contains the
127.0.0.1 to public IP of the remote server.
Open it on browser, you will see a remote jupyter.
Upload Jupyter notebook. Upload the
.ipynb file using browser and run it.
If you want to install denpendencies, just use
!pip install --upgrade pip !pip install numpy tensorflow !pip install imageio scikit-image