Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Martin Gorner

Martin Gorner
Developer Advocate, Google

Martin Gorner is a developer advocate at Google, where he focuses on parallel processing and machine learning. Martin is passionate about science, technology, coding, algorithms, and everything in between. He spent his first engineering years in the Computer Architecture Group of ST Microelectronics, then spent the next 11 years shaping the nascent ebook market at Mobipocket, which later became the software part of the Amazon Kindle and its mobile variants. He’s the author of the successful TensorFlow Without a PhD series. He graduated from Mines Paris Tech.

Sessions

9:00am–12:30pm Tuesday, March 26, 2019
Recurrent neural networks without a PhD
Data Science, Machine Learning & AI
 Location: 2002
Secondary topics:  Deep Learning, Temporal data and time-series analytics
Martin Gorner (Google)
Average rating: ****.
(4.50, 4 ratings)
Martin Gorner leads a hands-on introduction to recurrent neural networks and TensorFlow. Join in to discover what makes RNNs so powerful for time series analysis. Read more.