Machine Learning with TensorFlow & Cloud ML
Google Cloud
| Intermediate
- 14 videos | 1h 19m 47s
- Includes Assessment
- Earns a Badge
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
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Describe concepts of machine learning in relation to gcpDescribe the use of datasets in gcpDemonstrate how to load a dataset for cloud ml in gcpDescribe the use of tensorflow with machine learningRun a tensorflow python program in google cloud shellUse tensorflow to run a local trainerDemonstrate how to use tensorboard to inspect tensorflow logs and graphs
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Run a local trainer in distributed modeDemonstrate how to run a single-instance trainer in the cloudInspect stackdriver logs for an ml engine job run in the cloudDescribe the process of scaling with cloud mlDemonstrate how to run distributed training in the cloudUse hyperparameter tuning to help maximize a model's predictive accuracyDescribe the tensorflow operations that are used for big data
IN THIS COURSE
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3m 48sUpon completion of this video, you will be able to describe machine learning concepts in relation to GCP. FREE ACCESS
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3m 19sUpon completion of this video, you will be able to describe the use of datasets in Google Cloud Platform. FREE ACCESS
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4m 57sIn this video, you will learn how to load a dataset for Cloud ML in Google Cloud Platform. FREE ACCESS
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2m 40sAfter completing this video, you will be able to describe the use of TensorFlow for machine learning. FREE ACCESS
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4m 56sIn this video, find out how to run a TensorFlow Python program on Google Cloud Shell. FREE ACCESS
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10m 7sIn this video, find out how to use TensorFlow to run a local training session. FREE ACCESS
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7m 2sIn this video, you will learn how to use TensorBoard to inspect TensorFlow logs and graphs. FREE ACCESS
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4m 49sIn this video, learn how to run a local trainer in distributed mode. FREE ACCESS
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11m 34sIn this video, you will learn how to run a single-instance trainer in the cloud. FREE ACCESS
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4m 11sIn this video, you will inspect Stackdriver logs for an ML Engine job run in the cloud. FREE ACCESS
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2m 23sAfter completing this video, you will be able to describe the process of scaling with Cloud ML Engine. FREE ACCESS
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4m 54sIn this video, you will learn how to run distributed training in the cloud. FREE ACCESS
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5m 13sIn this video, you will learn how to use hyperparameter tuning to help maximize a model's predictive accuracy. FREE ACCESS
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9m 52sUpon completion of this video, you will be able to describe the TensorFlow operations used for big data. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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