Numpy NN is a Deep Neural Network Package which is built on base Numpy operations. This project is under development and any contributions are welcome.
Project description
numpy_nn
Numpy NN is a Deep Neural Network Package which is built on base Numpy operations. This project is under development and any contributions are welcome.
Free software: MIT license
Documentation: https://numpy-nn.readthedocs.io.
Features
Layers: (Neurons)
Losses: (Mean Absolute Error, Mean Squared Error, Binary Cross Entropy, Cross Entropy)
Optimizer: (Stochastic Gradient Descent, RMSProp, Adam, Momentum)
Activation: (ReLU, TanH, Sigmoid, LeakyReLU. ELU, Softmax)
Layer Abstraction to implement custom activations and layers
Persist model for later reuse.
TODO
Implementation of different Losses
Distributed Computation or GPU utilization
Dataset processing utilities
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.0 (2020-05-10)
First release on PyPI.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file numpy_nn-0.2.6.tar.gz.
File metadata
- Download URL: numpy_nn-0.2.6.tar.gz
- Upload date:
- Size: 13.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 071e7e2c4a5d550293bab57f598dba95e75466866813758ddfaa4a6451b64244 |
|
| MD5 | 26ba82a83fd9a62e8edeba82bb3d069f |
|
| BLAKE2b-256 | 0ce7a081761bbdbee615ae7c7794f14dbe215796afe6384c698cdca97079508b |
File details
Details for the file numpy_nn-0.2.6-py2.py3-none-any.whl.
File metadata
- Download URL: numpy_nn-0.2.6-py2.py3-none-any.whl
- Upload date:
- Size: 13.8 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9977b6e1697dcfb10c3a3a52e7524d5a7e3869373b9ec9074fa113d0c84cb65d |
|
| MD5 | 31ff4963f861a116870414bb8e5a5020 |
|
| BLAKE2b-256 | 939cfb4cd5e34d7af6ee61d84dcc8347b337adb3908882ad124bb59b7f581513 |
