Lessons learned with solving facial expression recognition use cases at Intel and with a European consultancy. Introduction of deep neural network model training and tooling. Overview of deployment infrastructure and choices.
Key Takeaways
- Don’t reinvent the wheel with data models
- Strike a balance between test accuracy and data throughput
- Choose the most sustainable tooling with the high performance
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