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Deep Learning Demystified

Artificial Intelligence (AI) is solving problems that seemed well beyond our reach just a few years back. Using deep learning, the fastest growing segment of AI, computers are now able to learn and recognize patterns from data that were considered too complex for expert written software. Today, deep learning is transforming every industry, including automotive, healthcare, retail and financial services.

This introduction to deep learning will explore key fundamentals and opportunities, as well as current challenges and how to address them.

Highlights include:
  1. Demystifying Artificial Intelligence, Machine Learning and Deep Learning
  2. Key challenges organizations face in adopting this new approach
  3. How GPU deep learning and software, along with training resources, can deliver breakthrough results
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Adam Henryk Grzywaczewski
Deep Learning Solution Architect, NVIDIA

Adam Grzywaczewski is a deep learning solution architect at NVIDIA, where his primary responsibility is to support a wide range of customers in delivery of their deep learning solutions. Adam is an applied research scientist specializing in machine learning with a background in deep learning and system architecture. Previously, he was responsible for building up the UK government’s machine-learning capabilities while at Capgemini and worked in the Jaguar Land Rover Research Centre, where he was responsible for a variety of internal and external projects and contributed to the self-learning car portfolio.
 
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