Damage-aware dense layers for neural networks
Project description
The author of this package has not provided a project description
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
damage_layers-0.2.tar.gz
(1.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file damage_layers-0.2.tar.gz.
File metadata
- Download URL: damage_layers-0.2.tar.gz
- Upload date:
- Size: 1.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9f624074ea40a94379523db49d682ac255a3560f3c76e5c2f0e8e83cbfa02e1b
|
|
| MD5 |
0fdbe9fdf6408b31cd7b4db7d8617226
|
|
| BLAKE2b-256 |
d7d9ef32b04dc2085f9707671eaea61ca498eadc11ad49b8ae8087ba494ea0e4
|
File details
Details for the file damage_layers-0.2-py3-none-any.whl.
File metadata
- Download URL: damage_layers-0.2-py3-none-any.whl
- Upload date:
- Size: 1.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
14b7efc9e9d9b26b188219c080803e55f5b539645dcb0a346acd597bd1744429
|
|
| MD5 |
31798ab3f0a0b42ee74a625decf9cb05
|
|
| BLAKE2b-256 |
847d0c02b98d3713e6fbba91583b4345d8c7b58d0b5981ec1e2234fa0ed539ba
|
