EDGE AI ON ZYNQ ULTRASCALE+: VITIS AI, KRIA SOM, AND FPGA INFERENCE: Quantize and Deploy TensorFlow and PyTorch Models Using FINN, DPU, and AXI Accelerators Without RTL Knowledge
A focused guide to edge AI inference on Zynq UltraScale+ platforms. It introduces Vitis AI, Kria SOM, FINN, DPU, and AXI accelerators while addressing the quantization and deployment of TensorFlow and PyTorch models without requiring RTL knowledge.
About This Book
This book focuses on edge AI development with Zynq UltraScale+ platforms and related acceleration technologies.
It covers Vitis AI and Kria SOM as part of an FPGA-based inference workflow.
The subject includes quantizing and deploying TensorFlow and PyTorch models.
FINN, DPU, and AXI accelerators are presented as key components of the deployment process.
The title emphasizes FPGA inference without requiring RTL knowledge.
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