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Tuesday, June 14 • 5:45pm - 6:45pm
Diving Deep into Deep Learning: Convolutional and Recurrent Neural Networks

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Building and deploying deep learning models holds tremendous potential to revolutionize every industry. This talk will showcase how deep learning can be applied to image, video and speech recognition, and deep dive into how to build Recurrent Neural Networks for sentiment analysis, and Convolutional Networks for solving a Kaggle competition using Nervana’s neon™. This session is targeted at data scientists and researchers who are looking to get started on their use cases, and will position them well to achieve the next level of speed and scalability when they need to do so.

avatar for Yinyin Liu

Yinyin Liu

Engineer, Nervana
Yinyin has over ten years of experience in developing neural models and learning algorithms, applying computational neuroscience, and machine learning to solve problems in areas including image recognition, reinforcement learning and robotics. She recently worked on NLP and object... Read More →

Tuesday June 14, 2016 5:45pm - 6:45pm PDT
701 B Street 16th Floor, Room B