What are neural networks and how do they work?

What are neural networks and how do they work?

Neural networks are computational models inspired by the human brain, used for tasks like classification and regression.

Can you explain the structure of a neural network?

Sure! A neural network consists of layers: an input layer, one or more hidden layers, and an output layer.

What is the role of activation functions in neural networks?

Activation functions introduce non-linearity into the model, allowing it to learn complex patterns.

How do neural networks learn from data?

They learn through a process called backpropagation, where the model adjusts its weights based on the error of its predictions.

What are some common applications of neural networks?

Common applications include image recognition, natural language processing, and game playing.