End-to-End Machine Learning with TensorFlow on GCP

Creation Time	Oct. 19, 2023, 10:27 a.m.
Last Access Time	Nov. 4, 2024, 1:08 p.m.
File Size	705.2 MB
Keywords	on Machine GCP Learning TensorFlow End-to-End with
Total Requests	84
Total Files	71
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06. Operationalize the model/04. Lab 4 demo and review.mp4 59.2 MB
06. Operationalize the model/09. Lab 5 demo and review.mp4 58.1 MB
05. Build the Model/04. Lab 3 -demo and review.mp4 56.9 MB
04. Create the dataset/04. Lab 2-demo and review.mp4 47.4 MB
07. Summary/01. Summary.mp4 37.7 MB
06. Operationalize the model/12. Lab Solution BigQuery ML.mp4 35.3 MB
06. Operationalize the model/16. Lab 6 -demo and review.mp4 33.5 MB
01. Welcome to the Course/02. Course Introduction.mp4 32.3 MB
06. Operationalize the model/18. Lab 7 -demo and review.mp4 29.3 MB
03. Explore the Data/07. Lab 1 demo and review.mp4 28.9 MB
03. Explore the Data/01. Exploring the dataset.mp4 26.3 MB
05. Build the Model/01. Build the model.mp4 26.2 MB
05. Build the Model/02. Lab 3 Intro -Creating a TensorFlow model.mp4 25.6 MB
01. Welcome to the Course/01. Intro to Specialization.mp4 18.3 MB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/02. Fully managed ML.mp4 17.2 MB
03. Explore the Data/05. Lab 1 Intro -Exploring the dataset.mp4 16.8 MB
04. Create the dataset/01. Creating a dataset.mp4 16.7 MB
06. Operationalize the model/07. Lab 5 -Training on Cloud AI Platform.mp4 15.8 MB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/01. Effective ML.mp4 13.9 MB
06. Operationalize the model/01. Operationalizing the model.mp4 13.9 MB
03. Explore the Data/02. BigQuery.mp4 11.1 MB
06. Operationalize the model/10. BigQuery ML.mp4 9.9 MB
03. Explore the Data/03. BigQuery and AI Platform Notebooks.mp4 9.6 MB
end-end-machine-learning-tensorflow-gcp.zip 9.6 MB
03. Explore the Data/04. Getting started with GCP and Qwiklabs.mp4 9.5 MB
06. Operationalize the model/17. Lab 7 -Building an App Engine app to serve ML predictions.mp4 9.4 MB
06. Operationalize the model/05. Cloud AI Platform.mp4 8.3 MB
04. Create the dataset/02. Lab 2 Intro -Create a sample dataset.mp4 6.9 MB
06. Operationalize the model/13. Deploying and Predicting with Cloud AI Platform.mp4 6.3 MB
06. Operationalize the model/06. Train and deploy with Cloud AI Platform.mp4 6.0 MB
06. Operationalize the model/14. Lab 6 Intro -Deploying and Predicting with Cloud AI Platform.mp4 4.6 MB
06. Operationalize the model/02. Lab 4 Intro -Preprocessing with Cloud Dataflow.mp4 2.0 MB
06. Operationalize the model/11. Lab Introduction.mp4 1.1 MB
06. Operationalize the model/15. Lab- Deploying and predicting with Cloud AI Platform.mp4 239.4 KB
06. Operationalize the model/03. Lab- Preprocessing using Dataflow.mp4 231.0 KB
05. Build the Model/03. Lab- Create TensorFlow model.mp4 226.8 KB
04. Create the dataset/03. Lab- Create a sample dataset.mp4 226.1 KB
06. Operationalize the model/08. Lab- Training on Cloud AI Platform.mp4 224.4 KB
03. Explore the Data/06. Lab- Explore dataset.mp4 219.4 KB
05. Build the Model/04. Lab 3 -demo and review.srt 28.1 KB
06. Operationalize the model/09. Lab 5 demo and review.srt 27.3 KB
04. Create the dataset/04. Lab 2-demo and review.srt 23.0 KB
06. Operationalize the model/04. Lab 4 demo and review.srt 19.6 KB
06. Operationalize the model/12. Lab Solution BigQuery ML.srt 18.0 KB
03. Explore the Data/07. Lab 1 demo and review.srt 17.6 KB
05. Build the Model/01. Build the model.srt 15.7 KB
06. Operationalize the model/01. Operationalizing the model.srt 14.2 KB
04. Create the dataset/01. Creating a dataset.srt 13.1 KB
06. Operationalize the model/18. Lab 7 -demo and review.srt 12.6 KB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/01. Effective ML.srt 10.0 KB
06. Operationalize the model/10. BigQuery ML.srt 9.9 KB
06. Operationalize the model/16. Lab 6 -demo and review.srt 9.7 KB
05. Build the Model/02. Lab 3 Intro -Creating a TensorFlow model.srt 9.4 KB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/02. Fully managed ML.srt 9.4 KB
03. Explore the Data/01. Exploring the dataset.srt 8.0 KB
07. Summary/01. Summary.srt 7.0 KB
03. Explore the Data/04. Getting started with GCP and Qwiklabs.srt 6.6 KB
06. Operationalize the model/13. Deploying and Predicting with Cloud AI Platform.srt 6.2 KB
06. Operationalize the model/05. Cloud AI Platform.srt 5.7 KB
03. Explore the Data/02. BigQuery.srt 5.3 KB
01. Welcome to the Course/02. Course Introduction.srt 4.6 KB
06. Operationalize the model/17. Lab 7 -Building an App Engine app to serve ML predictions.srt 4.4 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 3.4 KB
06. Operationalize the model/07. Lab 5 -Training on Cloud AI Platform.srt 3.0 KB
01. Welcome to the Course/01. Intro to Specialization.srt 2.6 KB
03. Explore the Data/05. Lab 1 Intro -Exploring the dataset.srt 1.6 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

End-to-End Machine Learning with TensorFlow on GCP

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