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Deep Learning and Reinforcement Learning Workflows in AI

AI, or artificial intelligence, is powering a massive shift in the roles that computers play in our personal and professional lives. Two new workflows, deep learning and reinforcement learning, are transforming industries and improving applications such as diagnosing medical conditions, driving autonomous vehicles, and controlling robots.

This talk dives into how MATLAB® supports deep learning and reinforcement workflows, including:

- Automating preparation and labelling of training data
- Interoperability with open-source deep learning frameworks
- Training deep neural networks on image, signal, and text data
- Tuning hyper-parameters to accelerate training time and increase network accuracy
- Generating multi-target code for NVIDIA®, Intel®, and ARM®

Additional Resources:

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- See all proceedings from MATLAB EXPO 2019 United Kingdom:

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