Using Keras
Advanced
Examples
Reference
Using Estimators
Using TensorFlow
Tutorials
TensorBoard
Overview
GPUs
CloudML
Training Flags
Training Runs
Datasets API
Deployment
Resources
Gallery
Functions for model training.
cloudml_train()
Train a model using Cloud ML
Functions for deploying models and generating predictions.
cloudml_deploy()
Deploy SavedModel to CloudML
cloudml_predict()
Perform Prediction over a CloudML Model.
Functions for managing remote Cloud ML Jobs.
job_status()
Current status of a job
job_collect()
Collect job output
job_stream_logs()
Show job log stream
job_trials()
Current trials of a job
job_cancel()
Cancel a job
job_list()
List all jobs
Functions for interacting with Google Storage.
gs_copy()
Copy files to / from Google Storage
gs_rsync()
Synchronize content of two buckets/directories
gs_local_dir()
Get a local path to the contents of Google Storage bucket
Functions for interacting with Google Cloud SDK.
gcloud_install()
Install the Google Cloud SDK
gcloud_init()
Initialize the Google Cloud SDK
gcloud_terminal()
Create an RStudio terminal with access to the Google Cloud SDK