Neural Network Quantization for Low-Power
This webinar describes how to use Qkeras and High-Level Synthesis to produce a bespoke quantized CNN accelerator, and compares accuracy, power, performance, and area of different quantizations.
What you will learn:
- Determine the optimal operand sizing for hardware accelerator deploying neural network using QKeras
- Determine the area, performance, and energy of a neural network accelerator
- Compare software performance against hardware accelerated performance - make informed trade-off decisions
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