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[README] - add faces_sub_image test entry

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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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jens
2026-05-30 15:21:46 +02:00
co-authored by Claude Sonnet 4.6
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@@ -20,6 +20,16 @@ These generate their own data and run without external files.
| `test_xor.py` | BB-RBM | Auto-encoder on XOR-like 3-bit patterns using the older `Layer` API. |
| `test_gaussian_autoencoder.py` | GB-RBM | Auto-encoder on synthetic Gaussian blob images (8×8). Trains, reconstructs, and plots original vs. reconstruction. |
| `test_linear.py` | GB-RBM or GG-RBM | GB/GG-RBM on random continuous data (3000-dim). Toggle `do_gaussian_hidden` at the top of the file. |
---
## Tests requiring external image data
These load images from a fixed path on disk.
| File | RBM type | What it tests |
|---|---|---|
| `test_faces_sub_image.py` | GB-RBM | Auto-encoder on 32×32 RGB patches extracted from Caltech WebFaces (`/media/jens/cifs/bilder/MachineVision/Caltech_WebFaces/`). Uses `SubImage` for non-overlapping ROI extraction (stride=32). After training: shows 128 learned weight filters, patch-level reconstructions, and a full image reconstruction assembled from patches. |
| `test_sub_image.py` | — | Unit test for `SubImage` (patch extraction). No RBM involved. |
| `test_conv2d.py` | — | Unit test for `conv2d`. No RBM involved. |