https://github.com/melchisedech333/xor-neural-network

🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and Back Propagation.
https://github.com/melchisedech333/xor-neural-network

artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks back-propagation backpropagation backpropagation-algorithm backpropagation-neural-network deep-learning feed-forward feed-forward-neural-networks feedforward-neural-network gradient-descent machine-learning neural-network neural-network-example neural-networks sigmoid-activation sigmoid-function xor-neural-network xor-problem

Last synced: about 2 months ago
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🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and Back Propagation.

• Host: GitHub
• URL: https://github.com/melchisedech333/xor-neural-network
• Owner: melchisedech333
• License: bsd-3-clause
• Created: 2022-04-23T05:20:39.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-10-17T19:17:41.000Z (over 2 years ago)
• Last Synced: 2025-02-03T10:33:38.207Z (4 months ago)
• Topics: artificial-intelligence, artificial-intelligence-algorithms, artificial-neural-networks, back-propagation, backpropagation, backpropagation-algorithm, backpropagation-neural-network, deep-learning, feed-forward, feed-forward-neural-networks, feedforward-neural-network, gradient-descent, machine-learning, neural-network, neural-network-example, neural-networks, sigmoid-activation, sigmoid-function, xor-neural-network, xor-problem
• Language: JavaScript
• Homepage:
• Size: 292 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme-pt.md
  • Funding: .github/FUNDING.yml
  • License: license

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README

        












    

    



    

    

    

    

    

    



Language: EN-US



Prova de conceito de rede neural artificial para resolver o problema clássico (XOR).

Para executar, abra o arquivo html em seu navegador padrão ;)

Como na imagem ao lado, a rede neural possui 3 camadas, uma camada de entrada (para os padrões a serem analisados), uma camada oculta (para representar o aprendizado profundo) e uma camada de saída para conclusão.

A primeira camada possui 2 neurônios (nodes) para a entrada XOR, a segunda camada possui 5 neurônios (esta é a camada oculta), finalizando com 1 neurônio na camada de saída, representando a aproximação do resultado desejado.

**Se meu código te ajudou em algo, considere [ser um patrocinador](https://github.com/sponsors/melchisedech333) :blue_heart:** 




:smiley: Autor

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Patrocinar: [melchisedech333](https://github.com/sponsors/melchisedech333)


Twitter: [Melchisedech333](https://twitter.com/Melchisedech333)


LinkedIn: [Melchisedech Rex](https://www.linkedin.com/in/melchisedech-rex-724152235/)


Blog: [melchisedech333.github.io](https://melchisedech333.github.io/)







:scroll: Licença

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[ BSD-3-Clause license](./license)







## Lembre-se de deixar 
 uma linda estrelinha :star_struck: