How can I implement neural networks in C++?

How can I implement neural networks in C++?

You can implement neural networks in C++ by using libraries like TensorFlow or writing your own from scratch. Would you like to see a simple example?

Yes, please provide a simple example.

Here's a basic example of a feedforward neural network in C++:

#include <iostream>
#include <vector>

class NeuralNetwork {
public:
    NeuralNetwork(int inputSize, int hiddenSize, int outputSize);
    void train(const std::vector<std::vector<double>>& inputs, const std::vector<std::vector<double>>& outputs);
    std::vector<double> predict(const std::vector<double>& input);
private:
    // Add your weights and activation functions here
};

This is just a skeleton. Would you like to dive deeper into any specific part?

What libraries can I use for more complex implementations?

For more complex implementations, you can use libraries like:

1. TensorFlow C++ API
2. Caffe
3. Dlib
4. Armadillo These libraries provide extensive functionalities for building and training neural networks.