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Training can take a long time
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Classroom Contents
Distributed TensorFlow - TensorFlow at O'Reilly AI Conference, San Francisco '18
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- 1 Training can take a long time
- 2 Data parallelism
- 3 Mirrored Variables
- 4 Ring All-reduce
- 5 Synchronous training
- 6 Performance on Multi-GPU
- 7 Setting up multi-node Environment
- 8 Deploy your Kubernetes cluster
- 9 Hierarchical All-Reduce
- 10 Model Code is Automatically Distributed
- 11 Configuring Cluster
