George Washington Neural Network
This repository contains a neural network library built from scratch for use in Neural Network courses at The George Washington University. It is a basic implementation that provides a number of layers, activation functions, and loss functions for students to explore how networks work at a low level.
Release files for gwu-nn 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| gwu_nn-0.2.0.tar.gz | 6.5 kB | Details |
Release files / gwu_nn-0.2.0.tar.gz
| Download URL | gwu_nn-0.2.0.tar.gz |
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| Size | 6.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
44fbf2b9a451a730d38497f7a7c17df9e213fcf8921166757598626fd211e3fb
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twine/4.0.1 CPython/3.7.6
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