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Hands-On Machine Learning on Google Cloud Platform

You're reading from  Hands-On Machine Learning on Google Cloud Platform

Product type Book
Published in Apr 2018
Publisher Packt
ISBN-13 9781788393485
Pages 500 pages
Edition 1st Edition
Languages
Authors (3):
Giuseppe Ciaburro Giuseppe Ciaburro
Profile icon Giuseppe Ciaburro
V Kishore Ayyadevara V Kishore Ayyadevara
Profile icon V Kishore Ayyadevara
Alexis Perrier Alexis Perrier
Profile icon Alexis Perrier
View More author details

Table of Contents (18) Chapters

Preface 1. Introducing the Google Cloud Platform 2. Google Compute Engine 3. Google Cloud Storage 4. Querying Your Data with BigQuery 5. Transforming Your Data 6. Essential Machine Learning 7. Google Machine Learning APIs 8. Creating ML Applications with Firebase 9. Neural Networks with TensorFlow and Keras 10. Evaluating Results with TensorBoard 11. Optimizing the Model through Hyperparameter Tuning 12. Preventing Overfitting with Regularization 13. Beyond Feedforward Networks – CNN and RNN 14. Time Series with LSTMs 15. Reinforcement Learning 16. Generative Neural Networks 17. Chatbots

Accessing control lists

The documentation says it best, Access Control Lists (ACLs) allow you to control who can read and write your data, and who can read and write the ACLs themselves.

If not specified at the time an object is uploaded (e.g., via the gsutil cp -a option),
objects will be created with a default object ACL set on the bucket (see gsutil help
defacl https://cloud.Google.com/storage/docs/gsutil/commands/defacl). You can
replace the ACL on an object or bucket using the gsutil acl set command, or modify the existing ACL using the gsutil acl ch command (see gsutil help acl: https://cloud.Google.com/storage/docs/gsutil/commands/acl).

ACL are assigned to objects (files) or buckets. By default all files in a bucket have the same
ACL as the bucket they're in.
A couple of points to remember are:

  • There is no write access for objects; attempting to set an ACL with write...
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