This is a simple package to train neural networks leveraging a Variable object that supports automatic differentiation
Project description
The author of this package has not provided a project description
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
centigrad-0.1.2.tar.gz
(8.5 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 centigrad-0.1.2.tar.gz.
File metadata
- Download URL: centigrad-0.1.2.tar.gz
- Upload date:
- Size: 8.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
95e824da8253f0d2caa48e24325463e9fea603bb80f1b0420762c664ee74d91b
|
|
| MD5 |
75e8ed4fab4d7e7bb311c16a46140032
|
|
| BLAKE2b-256 |
a1b5b571c5c47245278c193bcf9a59449575866cf32a98570921ea89d8db7c9b
|
File details
Details for the file centigrad-0.1.2-py3-none-any.whl.
File metadata
- Download URL: centigrad-0.1.2-py3-none-any.whl
- Upload date:
- Size: 7.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0705511f87d788fb67b2fe0a69007540b694f29a09018f1506c4869408fffe09
|
|
| MD5 |
176b2f314822a411461dcb0b4c39dcf0
|
|
| BLAKE2b-256 |
cf5e39db0448c379d386ef936591be8760ae7ba32f74c11f1c7237a3e668d707
|
