**Enhance Neural Network: Add hidden layer & update paramete

[basvandesande]

Pull Request: Add Second Hidden Layer and Update Neural Network Parameters

Base branch: main
Head branch: demo/techorama

Summary of Changes:

This pull request introduces enhancements to the neural network implementation, including the addition of a second hidden layer and updates to initialization and training parameters. The changes aim to improve the flexibility and performance of the neural network.

Key Updates:

1. Neural Network Architecture:

   • Added a second hidden layer (HiddenNodes2) to the neural network.
   • Introduced new weight matrices:
     • _weightHiddenToHidden2 for connections between the first and second hidden layers.
     • _weightHidden2ToOutput for connections between the second hidden layer and the output layer.

2. Parameter Updates:

   • Adjusted the initialization parameters to include the second hidden layer.
   • Updated the learning rate to improve training efficiency.

3. Training Configuration:

   • Increased the training set size to 5000 records.
   • Raised the maximum number of epochs to 15 for better model convergence.

Files Modified:

• NeuralNetwork/NeuralNetwork.cs:
  • Added properties and methods to support the second hidden layer.
  • Updated the constructor to initialize new weight matrices.

Purpose:

These changes enhance the neural network's capability to model complex relationships by introducing an additional hidden layer and optimizing training parameters.

Please review the changes and provide feedback.