TensorFlow in Practice: Interactive Prototyping and Multi-GPU Usage

by Alex KhizhniakApril 27, 2016

Yaroslav Bulatov of Google demonstrated how TensorFlow works, providing recommendations and code samples for computational graphs, sessions, etc.

Table of Contents

“Tricks of the Trade”

On March 31, 2016, Altoros organized the TensorFlow London meetup. At the event, Yaroslav Bulatov of Google presented some scenarios for using TensorFlow at scale—such as interactive usage, multiple GPUs, multi-threading, etc. In addition to an overview of TensorFlow’s architecture, Yaroslav also covered:

brief comparison to Theano, PyTorch, and NumPy (check out a more detailed analysis from us)
CPU/GPU and parallel execution
training parameters, assigning devices, etc.

At the end of the presentation, Yaroslav provided practical tips on interactive prototyping and demonstrated code samples. The slides are available here.

Want details? Watch the video!

Alex Khizhniak is Director of Technical Content Strategy at Altoros and a cofounder of a local Java User Group. Managing distributed teams since 2004, he has gained experience as a journalist, an editor-in-chief, a technical writer, a technology evangelist, a project manager, and a product owner. Alex is obsessed with AI/ML, data science, data integration, ETL/DWH, data quality, databases (SQL/NoSQL), big data, IoT, and BI. The articles and industry reports he created or helped to publish reached out to 3,000,000+ tech-savvy readers. Some of the pieces were covered on TechRepublic, ebizQ, NetworkWorld, CIO.com, etc. Find him on Twitter at @alxkh.