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.

Language: PT-BR

Artificial neural network proof of concept to solve classical problem (XOR). To run, open the html file in your default browser ;)

As in the image on the side, the network has three layers, an input layer (for the patterns to be analyzed), a hidden layer (to represent deep learning), and an output layer for completion.

The first layer has two neurons (nodes) for the XOR input, five neurons in the hidden layer and one in the output layer, representing the approximation of the desired result.

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😃 Author

Sponsor: melchisedech333
Twitter: Melchisedech333
LinkedIn: Melchisedech Rex
Blog: melchisedech333.github.io

📜 License

BSD-3-Clause license

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