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Serverless Deep Learning Deploy examples

Training the Malaria detection model

  1. Install the dependencies of this project with:
pip install -r requirements.txt

WARNING! Make sure to match your Python version according to this:

  • Azure Functions uses Python 3.6

  • AWS Lambda uses Python 3.6 or Python 3.7

  • GCP Functions uses Python 3.7

  1. Download the dataset from Kaggle, using the Kaggle API:
kaggle datasets download -d iarunava/cell-images-for-detecting-malaria
  1. Unzip the downloaded .zip file to the root of this project with:
unzip cell-images-for-detecting-malaria.zip

4.Rename the directories and copy random files to validation split:

sh prepare_dataset.sh
  1. Train the model:
python train.py

Running the demo server

Enter the /example_web_page directory and install the libs:

npm i

To start the server:

node server.js

The demo page will be served in localhost:4000