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San Francisco
Talk: Optimizing Distributed TensorFlow
TensorFlow allows to run distributed training, but making the most out of hardware still takes a lot of work. In this talk, you will learn:
How to setup distributed Tensorflow across multiple CPUs and GPUs.
Analyze TensorFlow timeline to figure out bottlenecks
Tune various components of the training stack to achieve optimal training speed.
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