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InfoQ Homepage Presentations Deep Learning at Scale: Distributed Training and Hyperparameter Search for Image Recognition Problems

Deep Learning at Scale: Distributed Training and Hyperparameter Search for Image Recognition Problems

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Summary

Michael Shtelma discusses methods and libraries for training models on a dataset that does not fit into memory or maybe even on the disk using multiple GPUs or even nodes.

Bio

Michael Shtelma is a software engineer passionate about all data related topics, especially data engineering and data science. He loves coding in Scala and Python. Currently, Michael is working at Databricks in Frankfurt, Germany.

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Big Data Conference Europe is a three-day conference with technical talks in the fields of Big Data, High Load, Data Science, Machine Learning and AI.

Recorded at:

May 26, 2020

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