What are neural networks and how can I implement them in C++?

What are neural networks and how can I implement them in C++?

Neural networks are computational models inspired by the human brain, used for tasks like classification and regression. To implement them in C++, you can use libraries like FANN or create your own from scratch using matrix operations.

Can you give me a simple example of a neural network in C++?

Sure! Here's a basic example of a feedforward neural network in C++ using a simple structure with one hidden layer. You would define classes for the neurons and layers, and implement forward propagation.

What libraries can I use for neural networks in C++?

You can use libraries like TensorFlow C++ API, Caffe, or FANN. Each has its own strengths depending on your project needs.

How do I train a neural network in C++?

Training a neural network involves feeding it data, calculating the loss, and adjusting weights using backpropagation. You can implement this manually or use a library that handles it for you.