Machine Learning In Application
Practical implemantation of Machine Learning in the Application.
- 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.
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