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End-to-End Machine Learning with TensorFlow on GCP

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2021-8-20 16:11 2024-11-29 02:40 239 695.37 MB 38
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End-to-End Machine Learning with TensorFlow on GCP的二维码
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文件列表
  1. 01. Welcome to the Course/01. Intro to Specialization.mp418.27MB
  2. 01. Welcome to the Course/02. Course Introduction.mp432.29MB
  3. 02. Machine Learning (ML) on Google Cloud Platform (GCP)/01. Effective ML.mp413.88MB
  4. 02. Machine Learning (ML) on Google Cloud Platform (GCP)/02. Fully managed ML.mp417.16MB
  5. 03. Explore the Data/01. Exploring the dataset.mp426.28MB
  6. 03. Explore the Data/02. BigQuery.mp411.13MB
  7. 03. Explore the Data/03. BigQuery and AI Platform Notebooks.mp49.58MB
  8. 03. Explore the Data/04. Getting started with GCP and Qwiklabs.mp49.52MB
  9. 03. Explore the Data/05. Lab 1 Intro -Exploring the dataset.mp416.84MB
  10. 03. Explore the Data/06. Lab- Explore dataset.mp4219.41KB
  11. 03. Explore the Data/07. Lab 1 demo and review.mp428.93MB
  12. 04. Create the dataset/01. Creating a dataset.mp416.74MB
  13. 04. Create the dataset/02. Lab 2 Intro -Create a sample dataset.mp46.95MB
  14. 04. Create the dataset/03. Lab- Create a sample dataset.mp4226.08KB
  15. 04. Create the dataset/04. Lab 2-demo and review.mp447.41MB
  16. 05. Build the Model/01. Build the model.mp426.19MB
  17. 05. Build the Model/02. Lab 3 Intro -Creating a TensorFlow model.mp425.59MB
  18. 05. Build the Model/03. Lab- Create TensorFlow model.mp4226.75KB
  19. 05. Build the Model/04. Lab 3 -demo and review.mp456.91MB
  20. 06. Operationalize the model/01. Operationalizing the model.mp413.87MB
  21. 06. Operationalize the model/02. Lab 4 Intro -Preprocessing with Cloud Dataflow.mp42.03MB
  22. 06. Operationalize the model/03. Lab- Preprocessing using Dataflow.mp4231.05KB
  23. 06. Operationalize the model/04. Lab 4 demo and review.mp459.19MB
  24. 06. Operationalize the model/05. Cloud AI Platform.mp48.3MB
  25. 06. Operationalize the model/06. Train and deploy with Cloud AI Platform.mp46.04MB
  26. 06. Operationalize the model/07. Lab 5 -Training on Cloud AI Platform.mp415.81MB
  27. 06. Operationalize the model/08. Lab- Training on Cloud AI Platform.mp4224.43KB
  28. 06. Operationalize the model/09. Lab 5 demo and review.mp458.15MB
  29. 06. Operationalize the model/10. BigQuery ML.mp49.91MB
  30. 06. Operationalize the model/11. Lab Introduction.mp41.1MB
  31. 06. Operationalize the model/12. Lab Solution BigQuery ML.mp435.28MB
  32. 06. Operationalize the model/13. Deploying and Predicting with Cloud AI Platform.mp46.26MB
  33. 06. Operationalize the model/14. Lab 6 Intro -Deploying and Predicting with Cloud AI Platform.mp44.58MB
  34. 06. Operationalize the model/15. Lab- Deploying and predicting with Cloud AI Platform.mp4239.42KB
  35. 06. Operationalize the model/16. Lab 6 -demo and review.mp433.46MB
  36. 06. Operationalize the model/17. Lab 7 -Building an App Engine app to serve ML predictions.mp49.37MB
  37. 06. Operationalize the model/18. Lab 7 -demo and review.mp429.26MB
  38. 07. Summary/01. Summary.mp437.74MB
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