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Illia Polosukhin

TENSORFLOW

San Francisco

Talk: Optimizing Distributed TensorFlow

TensorFlow allows to run distributed training, but making the most out of hardware still takes a lot of work. In this talk, you will learn:
- How to setup distributed Tensorflow across multiple CPUs and GPUs.
- Analyze TensorFlow timeline to figure out bottlenecks
- Tune various components of the training stack to achieve optimal training speed.

Upcoming:

Startup.ML and General Assembly Present: Scaling Deep Learning

Startup.ML and General Assembly Present: Scaling Deep Learning

Presented by Startup.ML and GA, this conference will focus on the best practices for deploying deep learning models into production on a variety of hardware and cloud platforms.

16
Sat, 16 September 9:00 - 5:00pm PDT

Previously (1):

Startup.ML and General Assembly Present: Scaling Deep Learning

Startup.ML and General Assembly Present: Scaling Deep Learning

Presented by Startup.ML and GA, this conference will focus on the best practices for deploying deep learning models into production on a variety of hardware and cloud platforms.

Teach at GA

Join our talented instructor team dedicated to transforming thinkers into creators.

Find Out More