What are neural networks and how do they work?
Neural networks are computational models inspired by the human brain, designed to recognize patterns and solve complex problems.
Can you explain the structure of a neural network?
Sure! A neural network consists of layers of interconnected nodes, or neurons, including an input layer, hidden layers, and an output layer.
What is the role of activation functions in neural networks?
Activation functions determine whether a neuron should be activated or not, introducing non-linearity into the model.
How are neural networks trained?
Neural networks are trained using 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 and speech recognition, natural language processing, and even playing games.
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