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All Projects → icoxfog417 → Machine_learning_in_application

icoxfog417 / Machine_learning_in_application

Licence: mit
Practical Machine Learning Implementation In the Application

Programming Languages

python
139335 projects - #7 most used programming language

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.

You can deploy this application by docker.

Please refer this tutorial to deploy the application.

  • heroku plugins:install heroku-container-registry
  • heroku container:login
  • git clone https://github.com/icoxfog417/machine_learning_in_application.git
  • heroku create
  • heroku container:push web
  • heroku open
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