Machine Learning with TensorFlow & Cloud ML

Google Cloud 2018    |    Intermediate
  • 14 Videos | 1h 19m 47s
  • Includes Assessment
  • Earns a Badge
Likes 48 Likes 48
Cloud ML combines the Google Cloud Platform with TensorFlow to create models at scale. Explore concepts behind TensorFlow and scaling, as well as training models locally and in the cloud.

WHAT YOU WILL LEARN

  • describe concepts of machine learning in relation to GCP
    describe the use of datasets in GCP
    demonstrate how to load a dataset for Cloud ML in GCP
    describe the use of TensorFlow with machine learning
    run a TensorFlow Python program in Google Cloud Shell
    use TensorFlow to run a local trainer
    demonstrate how to use TensorBoard to inspect TensorFlow logs and graphs
  • run a local trainer in distributed mode
    demonstrate how to run a single-instance trainer in the cloud
    inspect Stackdriver logs for an ML Engine job run in the cloud
    describe the process of scaling with Cloud ML
    demonstrate how to run distributed training in the cloud
    use hyperparameter tuning to help maximize a model's predictive accuracy
    describe the TensorFlow operations that are used for big data

IN THIS COURSE

  • Playable
    1. 
    Exploring Machine Learning
    3m 48s
    UP NEXT
  • Playable
    2. 
    Machine Learning Datasets
    3m 19s
  • Locked
    3. 
    Loading Datasets for Cloud ML in GCP
    4m 57s
    FREE ACCESS
  • Locked
    4. 
    Understanding TensorFlow
    2m 40s
    FREE ACCESS
  • Locked
    5. 
    Running a TensorFlow Python Program
    4m 56s
    FREE ACCESS
  • Locked
    6. 
    Using TensorFlow to Run a Local Trainer
    10m 7s
    FREE ACCESS
  • Locked
    7. 
    Using TensorBoard to Inspect Logs
    7m 2s
    FREE ACCESS
  • Locked
    8. 
    Running Local Trainers in Distributed Mode
    4m 49s
    FREE ACCESS
  • Locked
    9. 
    Running a Single-instance Trainer in the Cloud
    11m 34s
    FREE ACCESS
  • Locked
    10. 
    Inspecting Stackdriver Logs
    4m 11s
    FREE ACCESS
  • Locked
    11. 
    Understanding Cloud ML Scaling
    2m 23s
    FREE ACCESS
  • Locked
    12. 
    Running Distributed Training in the Cloud
    4m 54s
    FREE ACCESS
  • Locked
    13. 
    Using Hyperparameter Tuning
    5m 13s
    FREE ACCESS
  • Locked
    14. 
    Exercise: Using TensorFlow and Cloud ML
    9m 52s
    FREE ACCESS

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