Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
pipeline_tag: image-classification
|
| 4 |
+
---
|
| 5 |
+
So no matter how you go about it, this prototype WILL HAVE LIMITS.
|
| 6 |
+
|
| 7 |
+
However, there is some strange implications I found when tinkering that implies the limitations are HIGHER than previously expected. I'm seeing acceptance of about 25 - which probably means each edge, each face, and each point are accepting a form of loss adjacent similarity.
|
| 8 |
+
|
| 9 |
+
When too many things collapse into eachother, I'm estimating around 20 currently - my original assement was 4 - the structure starts to deviate. I'll need to work out a proper lambad formula for these differences and create a proper causal numeric test that can be represented in LATEX. Possibly ran at fp64 instead of fp32 for full solidification.
|
| 10 |
+
|
| 11 |
+
My hunch is, each can house about 20 rather than 8, and they can be compartmentalized to task. This is fitting the current spectrum.
|
| 12 |
+
|
| 13 |
+
The noise pentachora have limitations as showcased in this, which is why I finetuned the geometric-vocabulary and what it's real purpose is.
|