Implementing neural networks from scratch in C++.

Two inputs A,B(lets say) and they are two discrete variables.Predict output using AB for a OR GATE logic circuit.

The repository includes the following files:

• Neuralnetworksfromscratch.cpp: Source code for building and training a neural network from scratch.
• PredictingfromTrainedwts.cpp: Source code for using trained weights to make predictions.
• weights_and_biases.txt: Text file containing saved weights and biases from a trained neural network.
• .gitignore: Git configuration file specifying intentionally untracked files to ignore.
• LICENSE: License information for the repository.
• README.md: This file, providing an overview of the repository and its contents.

1. Training the Neural Network:

   • Compile and run Neuralnetworksfromscratch.cpp to train the neural network.
   • The trained weights and biases will be saved into weights_and_biases.txt.

2. Making Predictions:

   • Compile and run PredictingfromTrainedwts.cpp to use the trained weights for making predictions.

• C++ compiler capable of handling C++11 or later.
• Standard libraries for file handling and basic math operations.

This project is licensed under the terms of the EPL2.0-LICENSE.