OpenNN
A Neural Network implementation from scratch in Python. In this repository, Artificial Neural Networks are implemented from scratch. From scratch meaning without using external machine learning libraries. The API structure is similar to the Tensorflow Keras API.
Installing OpenNN from PyPI :
pip install open-nn-python
Importing OpenNN:
import nn
1 maintainer
Release files for open-nn-python 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| open-nn-python-0.3.1.tar.gz | 7.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| open_nn_python-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.2 kB
Release files / open-nn-python-0.3.1.tar.gz
| Download URL | open-nn-python-0.3.1.tar.gz |
|---|---|
| Size | 7.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
204d06ed45fbe83da43a517305226895269293f65d248f8105bd835e35691d6c
|
|
BLAKE2b-256 checksum How to use checksums |
8abf9c90eff0b712a21d757b91ac01b3f886a8729b41db5762d9a245ad667071
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.8
|
Release files / open_nn_python-0.3.1-py3-none-any.whl
| Download URL | open_nn_python-0.3.1-py3-none-any.whl |
|---|---|
| Size | 8.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
caa752256cf5644d6c4c78835a60d71df9713e2edbda258258580d3bc5e79be7
|
|
BLAKE2b-256 checksum How to use checksums |
d66e2e10d17455d92ec779e68d2a1f8d39e1d511cd7ffa867febbabf5d1bd2d2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.8
|
