Akida examples

To learn how to use the Akida Execution Engine, the CNN2SNN toolkit and check the Akida processor performance against MNIST, CIFAR10, ImageNet and Google Speech Commands (KWS) datasets please refer to the sections below.

General examples

GXNOR/MNIST inference — GXNOR/MNIST inference

DS-CNN CIFAR10 inference — DS-CNN CIFAR10 inference

MobileNet/ImageNet inference — MobileNet/ImageNet inference

DS-CNN/KWS inference — DS-CNN/KWS inference

Regression tutorial — Regression tutorial

Transfer learning with MobileNet for cats vs. dogs — Transfer learning with MobileNet for cats vs. dogs

YOLO/PASCAL-VOC detection tutorial — YOLO/PASCAL-VOC detection tutorial

CNN2SNN tutorials

CNN conversion flow tutorial — CNN conversion flow tutorial

Advanced CNN2SNN tutorial — Advanced CNN2SNN tutorial

Edge examples

Akida vision edge learning — Akida vision edge learning

Akida edge learning for keyword spotting — Akida edge learning for keyword spotting

Tips to set Akida learning parameters — Tips to set Akida learning parameters

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