Practical Machine Learning Implementation In the Application
Python JavaScript HTML CSS

README.md

Machine Learning In Application

Practical implemantation of Machine Learning in the Application.

Architecture

architecture.PNG

  • Model: Machine Learning Model
  • Trainer: Training the model. So training process (loss, optimizer) is separated from Model.
  • Model API: Interface between the Model and Application.
  • DataProcessor: Load the data and preprocess it. It is used in Trainer and ModelAPI.
  • Resource: It manages the parameters for Trainer, Model and DataProcessor.

Demo Application

top.PNG

handwritten number recognizer by Chainer.

Deploy

If you want to create the application from command line, please use the below command.

heroku create --buildpack https://github.com/kennethreitz/conda-buildpack.git