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Why distributed training?
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Classroom Contents
Inside TensorFlow - tf.data + tf.distribute
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- 1 Intro
- 2 ML Building Blocks
- 3 TensorFlow APIs
- 4 Why input pipeline?
- 5 tf.data: TensorFlow Input Pipeline
- 6 Input Pipeline Performance
- 7 Software Pipelining
- 8 Parallel Transformation
- 9 Parallel Extraction
- 10 tf.data Options
- 11 TFDS: TensorFlow Datasets
- 12 Why distributed training?
- 13 tf.distribute. Strategy API
- 14 How to use tf.distribute.Strategy?
- 15 Multi-GPU all-reduce sync training
- 16 All-Reduce Algorithm
- 17 Synchronous Training
- 18 Multi-GPU Performance ResNetso v1.5 Performance with
- 19 Multi-worker all-reduce sync training
- 20 All-reduce sync training for TPUs
- 21 Parameter Servers and Workers
- 22 Central Storage
- 23 Programming Model
- 24 What's supported in TF 2.0 Beta
