End-to-End Machine Learning with TensorFlow on GCP

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文档列表

06. Operationalize the model/04. Lab 4 demo and review.mp4 62.1 MB
06. Operationalize the model/09. Lab 5 demo and review.mp4 61.0 MB
05. Build the Model/04. Lab 3 -demo and review.mp4 59.7 MB
04. Create the dataset/04. Lab 2-demo and review.mp4 49.7 MB
07. Summary/01. Summary.mp4 39.6 MB
06. Operationalize the model/12. Lab Solution BigQuery ML.mp4 37.0 MB
06. Operationalize the model/16. Lab 6 -demo and review.mp4 35.1 MB
01. Welcome to the Course/02. Course Introduction.mp4 33.9 MB
06. Operationalize the model/18. Lab 7 -demo and review.mp4 30.7 MB
03. Explore the Data/07. Lab 1 demo and review.mp4 30.3 MB
03. Explore the Data/01. Exploring the dataset.mp4 27.6 MB
05. Build the Model/01. Build the model.mp4 27.5 MB
05. Build the Model/02. Lab 3 Intro -Creating a TensorFlow model.mp4 26.8 MB
01. Welcome to the Course/01. Intro to Specialization.mp4 19.2 MB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/02. Fully managed ML.mp4 18.0 MB
03. Explore the Data/05. Lab 1 Intro -Exploring the dataset.mp4 17.7 MB
04. Create the dataset/01. Creating a dataset.mp4 17.6 MB
06. Operationalize the model/07. Lab 5 -Training on Cloud AI Platform.mp4 16.6 MB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/01. Effective ML.mp4 14.6 MB
06. Operationalize the model/01. Operationalizing the model.mp4 14.5 MB
03. Explore the Data/02. BigQuery.mp4 11.7 MB
06. Operationalize the model/10. BigQuery ML.mp4 10.4 MB
03. Explore the Data/03. BigQuery and AI Platform Notebooks.mp4 10.0 MB
end-end-machine-learning-tensorflow-gcp.zip 10.0 MB
03. Explore the Data/04. Getting started with GCP and Qwiklabs.mp4 10.0 MB
06. Operationalize the model/17. Lab 7 -Building an App Engine app to serve ML predictions.mp4 9.8 MB
06. Operationalize the model/05. Cloud AI Platform.mp4 8.7 MB
04. Create the dataset/02. Lab 2 Intro -Create a sample dataset.mp4 7.3 MB
06. Operationalize the model/13. Deploying and Predicting with Cloud AI Platform.mp4 6.6 MB
06. Operationalize the model/06. Train and deploy with Cloud AI Platform.mp4 6.3 MB
06. Operationalize the model/14. Lab 6 Intro -Deploying and Predicting with Cloud AI Platform.mp4 4.8 MB
06. Operationalize the model/02. Lab 4 Intro -Preprocessing with Cloud Dataflow.mp4 2.1 MB
06. Operationalize the model/11. Lab Introduction.mp4 1.2 MB
06. Operationalize the model/15. Lab- Deploying and predicting with Cloud AI Platform.mp4 245.2 kB
06. Operationalize the model/03. Lab- Preprocessing using Dataflow.mp4 236.6 kB
05. Build the Model/03. Lab- Create TensorFlow model.mp4 232.2 kB
04. Create the dataset/03. Lab- Create a sample dataset.mp4 231.5 kB
06. Operationalize the model/08. Lab- Training on Cloud AI Platform.mp4 229.8 kB
03. Explore the Data/06. Lab- Explore dataset.mp4 224.7 kB
05. Build the Model/04. Lab 3 -demo and review.srt 28.8 kB
06. Operationalize the model/09. Lab 5 demo and review.srt 28.0 kB
04. Create the dataset/04. Lab 2-demo and review.srt 23.6 kB
06. Operationalize the model/04. Lab 4 demo and review.srt 20.1 kB
06. Operationalize the model/12. Lab Solution BigQuery ML.srt 18.4 kB
03. Explore the Data/07. Lab 1 demo and review.srt 18.0 kB
05. Build the Model/01. Build the model.srt 16.1 kB
06. Operationalize the model/01. Operationalizing the model.srt 14.6 kB
04. Create the dataset/01. Creating a dataset.srt 13.4 kB
06. Operationalize the model/18. Lab 7 -demo and review.srt 12.9 kB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/01. Effective ML.srt 10.2 kB
06. Operationalize the model/10. BigQuery ML.srt 10.2 kB
06. Operationalize the model/16. Lab 6 -demo and review.srt 10.0 kB
05. Build the Model/02. Lab 3 Intro -Creating a TensorFlow model.srt 9.7 kB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/02. Fully managed ML.srt 9.6 kB
03. Explore the Data/01. Exploring the dataset.srt 8.2 kB
07. Summary/01. Summary.srt 7.2 kB
03. Explore the Data/04. Getting started with GCP and Qwiklabs.srt 6.8 kB
06. Operationalize the model/13. Deploying and Predicting with Cloud AI Platform.srt 6.3 kB
06. Operationalize the model/05. Cloud AI Platform.srt 5.9 kB
03. Explore the Data/02. BigQuery.srt 5.4 kB
01. Welcome to the Course/02. Course Introduction.srt 4.7 kB
06. Operationalize the model/17. Lab 7 -Building an App Engine app to serve ML predictions.srt 4.5 kB
06. Operationalize the model/06. Train and deploy with Cloud AI Platform.srt 4.1 kB
03. Explore the Data/03. BigQuery and AI Platform Notebooks.srt 3.5 kB
06. Operationalize the model/07. Lab 5 -Training on Cloud AI Platform.srt 3.1 kB
01. Welcome to the Course/01. Intro to Specialization.srt 2.7 kB
03. Explore the Data/05. Lab 1 Intro -Exploring the dataset.srt 1.7 kB
06. Operationalize the model/14. Lab 6 Intro -Deploying and Predicting with Cloud AI Platform.srt 960 Bytes
04. Create the dataset/02. Lab 2 Intro -Create a sample dataset.srt 874 Bytes
06. Operationalize the model/02. Lab 4 Intro -Preprocessing with Cloud Dataflow.srt 711 Bytes
06. Operationalize the model/11. Lab Introduction.srt 487 Bytes

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