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[Webinar] Join Intel and ActiveState on Thurs. Oct. 26, 10:30am PT / 1:30pm ET.

Tensorflow, developed by Google, has become the most popular framework for deep learning, and now operates on a variety of devices such as multi-core CPUs, general purpose GPUs, mobile devices, and custom ASICs. 

In this webinar the experts at Intel and ActiveState will look at:

  1. Working with Tensorflow and its surrounding ecosystem
  2. General problem classes, where you can get big acceleration, and why run on a CPU
  3. Ideal use cases for TensorFlow on CPUs, including:
    • Which models and types of operations benefit most from these optimizations
    • Proposed benchmarks
    • Projected accelerations
    • How to tune performance for your systems
  4. Using multiple nodes to train on large data sets
  5. How Intel has optimized TensorFlow for Intel CPUs by:
    • Fully utilizing multi-core processors
    • AVX instructions
    • High performance memory systems
    • Providing up to 86x acceleration for commonly used neural network models
  6. How other Intel MKL-optimized data science packages included with ActivePython, can help accelerate your algorithms

Space is limited, reserve your spot today:


Mohammad Ashraf Bhuiyan, Intel Artificial Intelligence Group, Senior Software Engineer
Pete Garcin, ActiveState, Developer Advocate

Hope to see you there! 

-The ActiveState Team

ActiveState  #1000 - 1177 W. Hastings St. | Vancouver, BC V6E 2K3 | Canada | Phone: (778) 786 1100
  Toll-Free: 1 (866) 631 4581 | Fax: (778) 786 1133

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