Machine Learning For Embedded Applications on FPGAs - Nick Fraser, Xilinx

In this talk, Xilinx's Nick Fraser discusses the wide applications of neural networks with different demands in terms of throughput, latency, accuracy and so on.

[@crazymango5star40]

Xilinx has been working on a new architecture for Inference and ML.. Here is a White Paper which explains why FPGA and Versal architecture of Xilinx is Inevitable -- www.xilinx.com/support/documentation/white_papers/EW2020-Deep-Learning-Inference-AICore.pdf

[@Rysino]

Great lecture

[@VuongNguyen-mq7po]

Nick, for AI on FPGA, can you give a quick look at github.com/ztachip/ztachip