种子简介
种子名称：
End-to-End Machine Learning with TensorFlow on GCP
文件类型：
视频
文件数目：
38个文件
文件大小：
695.37 MB
收录时间：
2021-8-20 16:11
已经下载：
3次
资源热度：
223
最近下载：
2024-8-26 03:55
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种子包含的文件
End-to-End Machine Learning with TensorFlow on GCP.torrent
01. Welcome to the Course/01. Intro to Specialization.mp418.27MB
01. Welcome to the Course/02. Course Introduction.mp432.29MB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/01. Effective ML.mp413.88MB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/02. Fully managed ML.mp417.16MB
03. Explore the Data/01. Exploring the dataset.mp426.28MB
03. Explore the Data/02. BigQuery.mp411.13MB
03. Explore the Data/03. BigQuery and AI Platform Notebooks.mp49.58MB
03. Explore the Data/04. Getting started with GCP and Qwiklabs.mp49.52MB
03. Explore the Data/05. Lab 1 Intro -Exploring the dataset.mp416.84MB
03. Explore the Data/06. Lab- Explore dataset.mp4219.41KB
03. Explore the Data/07. Lab 1 demo and review.mp428.93MB
04. Create the dataset/01. Creating a dataset.mp416.74MB
04. Create the dataset/02. Lab 2 Intro -Create a sample dataset.mp46.95MB
04. Create the dataset/03. Lab- Create a sample dataset.mp4226.08KB
04. Create the dataset/04. Lab 2-demo and review.mp447.41MB
05. Build the Model/01. Build the model.mp426.19MB
05. Build the Model/02. Lab 3 Intro -Creating a TensorFlow model.mp425.59MB
05. Build the Model/03. Lab- Create TensorFlow model.mp4226.75KB
05. Build the Model/04. Lab 3 -demo and review.mp456.91MB
06. Operationalize the model/01. Operationalizing the model.mp413.87MB
06. Operationalize the model/02. Lab 4 Intro -Preprocessing with Cloud Dataflow.mp42.03MB
06. Operationalize the model/03. Lab- Preprocessing using Dataflow.mp4231.05KB
06. Operationalize the model/04. Lab 4 demo and review.mp459.19MB
06. Operationalize the model/05. Cloud AI Platform.mp48.3MB
06. Operationalize the model/06. Train and deploy with Cloud AI Platform.mp46.04MB
06. Operationalize the model/07. Lab 5 -Training on Cloud AI Platform.mp415.81MB
06. Operationalize the model/08. Lab- Training on Cloud AI Platform.mp4224.43KB
06. Operationalize the model/09. Lab 5 demo and review.mp458.15MB
06. Operationalize the model/10. BigQuery ML.mp49.91MB
06. Operationalize the model/11. Lab Introduction.mp41.1MB
06. Operationalize the model/12. Lab Solution BigQuery ML.mp435.28MB
06. Operationalize the model/13. Deploying and Predicting with Cloud AI Platform.mp46.26MB
06. Operationalize the model/14. Lab 6 Intro -Deploying and Predicting with Cloud AI Platform.mp44.58MB
06. Operationalize the model/15. Lab- Deploying and predicting with Cloud AI Platform.mp4239.42KB
06. Operationalize the model/16. Lab 6 -demo and review.mp433.46MB
06. Operationalize the model/17. Lab 7 -Building an App Engine app to serve ML predictions.mp49.37MB
06. Operationalize the model/18. Lab 7 -demo and review.mp429.26MB
07. Summary/01. Summary.mp437.74MB
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