Building neural nets in pascal

[mahdi-eth]

Description
This pull request introduces the implementation of a basic neuron with 3 inputs in Pascal. The code demonstrates the calculation of the neuron's output by multiplying the inputs with their respective weights, summing the results, and adding the bias term. This simple implementation serves as a foundation for further developments in neural network modeling.

Future Work
In addition to this contribution, I have plans to continue working on coding the Pascal versions of other neural network examples from the YouTube series. By doing so, I aim to contribute further to the project and expand its functionality in Pascal.

I appreciate the opportunity to contribute to this project and look forward to further collaborations and enhancements.

Best regards,
Mahdi Ettehadnejad

[mahdi-eth]

p002 in pascal is ready

[mahdi-eth]

p003 in pascal is ready

[mahdi-eth]

p004 in pascal is ready. Please note that Pascal doesn't have a built-in equivalent for NumPy, so the random initialization of weights in the TLayerDense constructor is done differently using the Random function.