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README.md
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@@ -30,6 +30,7 @@ It supports **1-channel and 3-channel** 28×28 inputs (e.g., TorchVision MNIST v
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- I will include all cites to the adjacent papers used for the mathematics, model weights, inspirations, and test methodologies implemented at a later time.
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- I appreciate every single contributor to this - direct or indirect - through your invaluable contributions to science that manifested in utilizable AI form.
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- I have included the training notebook as train_notebook.ipynb - which shows the deterministic setup, the weights, the loss methods, and an absolute ton of random functions that I let the AIs monkey patch in because it's faster than trying to teach AI 15 classes in 15 files.
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## 🧠 Model overview
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- I will include all cites to the adjacent papers used for the mathematics, model weights, inspirations, and test methodologies implemented at a later time.
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- I appreciate every single contributor to this - direct or indirect - through your invaluable contributions to science that manifested in utilizable AI form.
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| 32 |
- I have included the training notebook as train_notebook.ipynb - which shows the deterministic setup, the weights, the loss methods, and an absolute ton of random functions that I let the AIs monkey patch in because it's faster than trying to teach AI 15 classes in 15 files.
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- The patterns on this one struggle based on certain pentachora overlap which is why it had to be rewritten again.
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## 🧠 Model overview
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