Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY

Fast deep learning at your fingertips

Amitai Armon (Intel), Nir Lotan (Intel)
2:05pm–2:45pm Thursday, 09/29/2016
Data science & advanced analytics
Location: 3D 10 Level: Beginner
Average rating: ****.
(4.50, 2 ratings)

Prerequisite knowledge

  • Basic familiarity with machine learning
  • What you'll learn

  • Understand how to easily leverage the power of deep learning
  • Description

    Deep learning—the most significant innovation in data science in recent years—presents amazing improvements in the modeling results. However, most data scientists don’t yet use deep learning for several reasons: the relative complexity of customizing deep learning models for their own problems, challenges in installing and using the required frameworks, and low performance of open source deep learning frameworks on standard CPUs.

    Amitai Armon and Nir Lotan outline a new, free software tool that enables the creation of deep learning models quickly and easily. The tool is based on existing deep learning frameworks and incorporates extensive optimizations that provide high performance on standard CPUs.

    Photo of Amitai Armon

    Amitai Armon

    Intel

    Amitai Armon is the chief data scientist for Intel’s Advanced Analytics group, which provides solutions for the company’s challenges in diverse domains ranging from design and manufacturing to sales and marketing, using machine learning and big data techniques. Previously, Amitai was the cofounder and director of research at TaKaDu, a provider of water-network analytics software to detect hidden underground leaks and network inefficiencies. The company received several international awards, including the World Economic Forum Technology Pioneers award. Amitai has about 15 years of experience in performing and leading data science work. He holds a PhD in computer science from the Tel Aviv University in Israel, where he previously completed his BSc (cum laude, at the age of 18).

    Photo of Nir Lotan

    Nir Lotan

    Intel

    Nir Lotan is a machine-learning product manager and team manager in Intel’s Advanced Analytics department. Nir’s team develops machine-learning and deep learning-related tools, including a tool that enables easy creation of deep learning models. Prior to this role, Nir held several product, system, and software management positions within Intel’s Design Center organization and other leading companies. Nir has 15 years of experience in software and systems engineering, products, and management. He holds a BSc degree in computer engineering from the Technion Institute of Technology.