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knots_simple_CNN
roa7n/knots_simple_CNN
knots_simple_CNN is a machine learning model from roa7n. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
The model is trained on downsampled knotsAF dataset where sequences with length < 500 are padded with 'X's.
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Public
Updated Feb 3, 2023
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At a glance
- Access
- Public
- Created
- Jan 5, 2023
- Updated
- Feb 3, 2023
- SHA
- 2d29cc54
Model card
From the Hugging Face model README
Simple CNN for knotted x unknotted recognition
The model is trained on downsampled knots_AF dataset where sequences with length < 500 are padded with 'X's.
The architecture is PENGUINN with modified input.
Model versions
(names in format cnn_{NUMBER_OF_EPOCHS}epochs_{TEST_ACCURACY}.h5)
Trained on v1 version of the dataset (it contained duplicites):
Trained on v2 version of the dataset (some unknotted labels were incorrect):
Trained on the latest version of the dataset:
cnn_10epochs_latest.h5- accuracy on test:~95.17 %
- Created
- Jan 5, 2023
- Updated
- Feb 3, 2023