machine_learning_in_application's Introduction

Machine Learning In Application

Practical implemantation of Machine Learning in the Application.

Architecture

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

handwritten number recognizer by Chainer.

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

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