Malo Marrec talks about how to speed up training in neural networks with distributed TensorFlow
TensorFlow is a mighty tool for data scientists and machine learning engineers. Distributed computing can significantly speed up the training of neural networks, but running your code using distributed TensorFlow isn't always simple.
Malo Marrec, Chief Product Strategist and co-founder of Clusterone, shows how to train large neural networks with distributed TensorFlow on our no-DevOps, infrastructure-agnostic, massively scalable deep learning platform.
The webinar covers:
How to launch and visualize jobs with different hyperparameter sets.
How to write distributed TensorFlow
A question and answer session
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