__version__
Model
Optimizer
AkidaUnsupervised
PowerMeter
PowerEvent
Mesh
Info
Ident
NpSpace
Type
Mapping
MapMode
MapConstraints
AkidaVersion
get_akida_version()
set_akida_version()
convert()
check_model_compatibility()
load_model()
save_model()
Distiller
KLDistillationLoss()
get_flops()
display_macs()
display_sparsity()
load_weights()
save_weights()
get_model_path()
fetch_file()
get_tensorboard_callback()
get_params_by_version()
To learn how to use Akida, the QuantizeML and CNN2SNN toolkits and check the Akida accelerator performance against some commonly used datasets please refer to the sections below.
Global Akida workflow
AkidaNet/ImageNet inference
DS-CNN/KWS inference
Age estimation (regression) example
Transfer learning with AkidaNet for PlantVillage
YOLO/PASCAL-VOC detection tutorial
Segmentation tutorial
PyTorch to Akida workflow
Advanced QuantizeML tutorial
Upgrading to Akida 2.0
Off-the-shelf models quantization
Advanced ONNX models quantization
Akida vision edge learning
Akida edge learning for keyword spotting
Tips to set Akida edge learning parameters
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