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Description

Deep learning is a very hot topic right now. Deep learning algorithms are proving effective in many existing applications such as image recognition, speech recognition, and natural language processing. Deep learning algorithms are opening the door to many totally novel applications and products, from smart homes to autonomous vehicles, from defense systems to medical systems.

Deep learning will impact DAC attendees in a number of ways, from the kinds of electronic product we design through to the algorithms used within EDA tools. The session will explain the background to deep learning, the technical jargon, and the main concepts you need to get started. Topics to be covered include basic machine learning algorithms for regression and classification, cost functions, basic neural network models, the distinction between machine learning and deep learning, the training and deployment of neural network models, an overview of the ecosystem including common deep learning software libraries and frameworks, and how to get started with deep learning. The workshop includes access to working code examples and instruction on how to run them yourself.

This session assumes a basic knowledge of Python. Attendees with no prior knowledge of Python are recommended to attend the morning session The Python Language: Become a Pythoneer!

This track is taught by Doulos CTO John Aynsley, winner of the Accellera Systems Initiative 2012 Technical Excellence Award for his contribution to the development of language standards.

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