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README.md
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- pytorch
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- cnn
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- image-classification
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---
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# Moon Cipher Detector (Classifier)
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CNN classifier for **moon cipher** glyph recognition: 27 classes (A–Z plus `~`). Input: 128×128 grayscale glyph crop. Use with a detector for full image decoding.
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## Model metadata
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| Model | Format | Size | Params | Tensor type |
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- pytorch
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- cnn
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- image-classification
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- epochs-150
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- batch-size-16
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- learning-rate-3e-4
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- input-size-128
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- num-classes-27
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- early-stopping-15
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- save-every-5-epochs
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- optimizer-adam
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- weight-decay-0.0001
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- augmentation
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- model-type-custom
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---
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# Moon Cipher Detector (Classifier)
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CNN classifier for **moon cipher** glyph recognition: 27 classes (A–Z plus `~`). Input: 128×128 grayscale glyph crop. Use with a detector for full image decoding.
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## Training config
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| Epochs | Batch size | Learning rate | Input size | Num classes | Early stopping | Augmentation |
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|--------|------------|---------------|------------|-------------|----------------|--------------|
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| 150 | 16 | 3e-04 | 128×128 | 27 | 15 | True |
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## Model metadata
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| Model | Format | Size | Params | Tensor type |
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