Downloads · 30 days
0
cantor-resnet-imagenet
AbstractPhil/cantor-resnet-imagenet
cantor-resnet-imagenet is a machine learning model from AbstractPhil. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This is a prototype linear stack meant to benchmark the newest CantorConv layer implementation with standard linear layers replaced with CantorLinear when available.
Access
Public
Updated Oct 30, 2025
Repo size
—
Likes
0
Public
Repo makeup
Click a slice to open those files.
Other1.5 KB · 65%
At a glance
- License
- mit
- Access
- Public
- Created
- Oct 30, 2025
- Updated
- Oct 30, 2025
- SHA
- 090d4956
Model card
From the Hugging Face model README
This is a prototype linear stack meant to benchmark the newest CantorConv layer implementation with standard linear layers replaced with CantorLinear when available.
Preliminary MNIST trains show that CantorLinear embedded cantor-fingerprinted direct neuron learning mask with alpha weights;
increases accuracy by +-4% with commonly +2% over standard linear layers and reduces train time by about 4% worst -4% speed. Preliminary MNIST trains show that CantorConv with cantor-fingerprinted learning mask
Accuracy is nearly identical to traditional +-2% either way depending on noise I will be testing cantor resnet by feeding it imagenet orderly features from my repos to see how it fares.
- License
- mit
- Created
- Oct 30, 2025
- Updated
- Oct 30, 2025