Deep learning is gaining popularity in computational creativity tasks such as music generation. Erika Menezes and Serina Kaye share a data science process for music synthesis, including preprocessing, model architecture, training, and prediction, using Microsoft’s Azure Machine Learning. Join in to learn how to build a deep learning system for music generation.
This session is sponsored by Microsoft.
Erika Menezes is a software engineer in the Cloud AI Group at Microsoft where she builds deep learning and AI solutions that leverage Microsoft’s AI technologies. Erika holds an MS from Carnegie Mellon University, where she worked as a research assistant on several machine learning and NLP projects. She is part of multiple efforts to champion diversity and inclusion in the tech industry.
Serina Kaye is a principal program manager in the Cloud AI Group at Microsoft. She works on Azure Machine Learning, creating tools and services to help data scientists be more productive. Serina has over 20 years of industry experience delivering globally scaled products and services. Previously, she led the creative products team for Xbox advertising and was a group manager at MSDN and MSN. She holds an MBA from the Michael G. Foster School of Business. She grew up in Toronto, Canada.
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