Distributed TensorFlow training (Google I/O '18)
To efficiently train machine learning models, you will often need to scale your training to multiple GPUs, or even multiple machines. TensorFlow now offers rich functionality to achieve this with just a few lines of code. Join this session to learn how to set this up.
Rate this session by signing-in on the I/O website here → https://goo.gl/sBZMEm
Distribution Strategy API:
https://goo.gl/F9vXqQ
https://goo.gl/Zq2xvJ
ResNet50 Model Garden example with MirroredStrategy API:
https://goo.gl/3UWhj8
Performance Guides:
https://goo.gl/doqGE7
https://goo.gl/NCnrCn
Commands to set up a GCE instanc…
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