DeepECG models
Collection
Collections store the different models trained for DeepECG Project • 14 items • Updated • 10
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- The model_name: sl_model.h5
- The model utilizes the EfficientNetV2 architecture for processing ECG signals.
- The model takes an input signal tensor and outputs the logits for the 77 diagnosis classes.
- The Model is saved in h5 format and is tunable
To load use
import torch model = torch.load(model_path)
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