Google Machine Learning Engine

Table of contents:

• Google Machine Learning Engine
  • The Cloud MLE Train/Deploy Process
  • Preparing for Training and Serving on Cloud MLE
  • Packaging the Code for Training on CloudMLE
  • The TensorFlow Model
  • The Application Logic
  • Training on CloudMLE

The Google Cloud Machine Learning Engine, simply known as Cloud MLE is a managed Google infrastructure for training and serving “large-scale” machine learning models. This managed infrastructure can train large scale Machine Learning models built with TensorFlow, Keras, Scikit-learn or XGBoost. It also provides modes of serving or consuming the trained models either as an Online or Batched prediction service.

The Cloud MLE Train/Deploy Process

Preparing for Training and Serving on Cloud MLE

Packaging the Code for Training on CloudMLE

The TensorFlow Model

The Application Logic

Training on CloudMLE