Tutorials

End-to-end examples from the model zoo that train a model and export a schema.json. Upload to the DeepGate platform to compile and benchmark.

Example	Task	Dataset	Shows
cifar10_convnet.py	Image classification	CIFAR-10	Post-training quantization (PTQ)
speech_commands_dscnn.py	Keyword spotting	Speech Commands v2	Audio preprocessing (MFCC) + QAT
vww_convnet.py	Visual wake words	MLPerf Tiny VWW	Image preprocessing + QAT
cifar10_logicnet.py	Image classification	CIFAR-10	Logic layers (LUT), no quantization