More Related Content
Similar to TensorFlow on GCP (20)
TensorFlow on GCP
- 5. Google Cloud ML Engine
Jupyter Notebook [DEMO]
Online Prediction [DEMO]
Google Cloud Dataflow
- 13. REST API
Python Client Library
from oauth2client.client import GoogleCredentials
from googleapiclient import discovery
credentials = GoogleCredentials.get_application_default()
ml = discovery.build('ml', 'v1', credentials=credentials)
job_req = ml.projects().jobs().create(
parent=project_id,
body=param)
job_req.execute()
- 25. BigQuery, GCS
query = "SELECT * FROM [project:dataset.table]"
p = beam.Pipeline(options=options)
(p | 'query image list' >> beam.Read(beam.io.BigQuerySource(query=query))
| 'download image' >> beam.FlatMap(download_image)
| 'crop and resize image' >> beam.Map(crop_image)
| 'make edge image' >> beam.Map(make_edge_image)
- 30. Thank you!
Cloud ML Engine
https://cloud.google.com/ml‑engine/
Cloud Dataflow
https://cloud.google.com/dataflow/
Cloud ML Engine ‑ Jupyter Notebook Extension
https://github.com/hayatoy/cloudml‑magic