Using the Python Client Library
Describes how to use the Google API Client Library to easily make calls to Cloud ML Engine REST APIs.
Using Distributed TensorFlow with Cloud Datalab
Shows you how to use a distributed configuration of TensorFlow code on Cloud ML Engine to train a convolutional neural network model by using the MNIST dataset.
Image Classification using Flowers Dataset
Shows you how to build an image classification model with transfer learning and the Inception-v3 model, using the Iris dataset on Cloud ML Engine.
More Samples & Tutorials
Describes the sample applications made for Cloud ML Engine.