This program demonstrates the training of a feedforward neural network using backpropagation.

1. Prepare Training Data:

   • Create a text file containing training data in the following format:
     • Each line should start with "in:" followed by input values separated by spaces.
     • Each line should also contain "out:" followed by target output values separated by spaces.
     • Example:

       in: 0.0 0.0
       out: 1.0
       in: 0.0 1.0
       out: 0.0
       ...
       

2. Compile the Program:

   • Compile the program using a C++ compiler (e.g., g++):

3. Run the Program:

• Execute the program with the path to your training data file as a command-line argument:

4. Training:

• The program will read the training data, train the neural network, and display the progress.

5. Output:

• The program will output the network's predictions and error during training.

6. Customize:

• You can customize the neural network's topology and training parameters in the code.

• C++ compiler (e.g., g++)
• Training data in the specified format