End to End Machine Learning with PySpark and TensorFlow using Hopsworks on GCP


Details
Description: End to End Machine Learning with PySpark and TensorFlow using Hopsworks on GCP
- Overview of Hops Project
- Distributed training using TensorFlow and PySpark on multiple GPUs
- Hyperparameter search (Distributed hyperparameter optimization for TensorFlow using PySpark on many GPUs)
- Model serving using Google AI Platform serving
Speaker Bio: Jim Dowling is the CEO of Logical Clocks AB, as well as an Associate Professor at KTH Royal Institute of Technology. He is the lead architect of Hopsworks, a data-intensive platform for AI built on HopsFS, a next-generation HDFS compatible filesystem and winner of the IEEE Scale prize in 2017. His research concentrates on building systems support for machine learning at scale. He is a regular speaker at Big Data and AI industry conferences.
Agenda
5:45 - 6:30 PM Networking/Social/Food
6:30 - 6:35 PM Introduction
6:35 - 7:30 PM Talk and Q&A
7:30 - 8:00 PM Networking/Social/Closing

End to End Machine Learning with PySpark and TensorFlow using Hopsworks on GCP