- pytorch
- matplotlib
- torchvision
- flask
- pillow
- python
- numpy
The environment plan is located in the environment.yml file.
This is a pytorch implementation of convolutional neural network on the MNIST digit classification dataset.
The model is stored in the model directory and the server code is storec in the server.py and lib directory. The html templates for the front end are stored in the templates directory and the css and javascript files are stored in the static directory.
Follow the below instructions to initialize the flask server.
- Fork and clone the repository. Then change into the cloned repository
cd mnist_cnn- Build the conda environment using the environment.yml file.
conda env create -f environment.yml- Run the server.py file using the below command
python server.py - Visit localhost:8080 on your local machine to interact with the server.
You can find the docker image from the URL below:
https://hub.docker.com/repository/docker/pulkit3379/mnist_cnn