Designing Deep Learning Systems

3 Model training service

This chapter covers

• Designing principles for building a training service
• Explaining the deep learning training code pattern
• Touring a sample training service
• Using an open source training service, such as Kubeflow
• Deciding when to use a public cloud training service

The task of model training in machine learning is not the exclusive responsibility of researchers and data scientists. Yes, their work on training the algorithms is crucial because they define the model architecture and the training plan. But just like physicists need a software system to control the electron-positron collider to test their particle theories, data scientists need an effective software system to manage the expensive computation resources, ...