Deep learning is the most significant innovation in data science in recent years, since it presents amazing improvements in modeling results.
However, most data scientists don’t yet use deep learning, due to the relative complexity of customizing deep learning models for their own problems, the challenges in installing and using the required frameworks, and the low performance of open source deep learning frameworks on standard CPUs.
Nir Lotan describes a new, free software tool based on existing deep learning frameworks that enables the fast and easy creation of deep learning models and incorporates extensive optimizations that provide high performance on standard CPUs, thanks to extensive code optimizations.
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.
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