How does a neural network work?
An example of an AI chatbot conversation about answering technical questions.
How does a neural network work?
A neural network mimics the way human brains operate, using layers of interconnected nodes to process data.
What are the main components of a neural network?
The main components include input layers, hidden layers, output layers, and weights that adjust during training.
Can you explain the training process?
During training, the network learns by adjusting weights based on the error of its predictions using backpropagation.
What is overfitting in neural networks?
Overfitting occurs when a model learns the training data too well, failing to generalize to new, unseen data.
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