Overcome 4 main challenges when deploying deep learning in embedded systems
Whether this is your first time leading a deep learning (DL) project or you’ve been here before, you will encounter the same obstacles.
This guide lists four main challenges you face when deploying deep learning in embedded systems – and how you should overcome them to maximize your success.
Download our guide and learn:
- How to meet the real-time requirements.
- Why choosing the right hardware will lower your carbon footprint.
- The best way to ensure the model is hardware-agnostic for the DL part of the system.
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