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
33:21
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.
About the conference
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.
May 26, 2020