From Exploration to Production - Bridging the Deployment Gap for Deep Learning
- Clone the repository and change to the folder
- If you are using
conda, just create a new environment from
conda env create -f env.yml. This will create the environment
- Activate the environment with
conda activate emnist_dl
- Install the package with
python setup.py install
- Work through the JuPyter notebooks provided in
I will provide five JuPyter notebooks for guidance through the code. I advise you to set everything up and start reading each blogpost and go trough the referenced notebooks to try things out yourself.
The code has been tested with Docker
Version 18.06.1-ce-mac73 (26764)
This project has been set up using PyScaffold 3.1rc2. For details and usage information on PyScaffold see https://pyscaffold.org/.