Neural networks are a powerful tool for making predictions and decisions from complex data. By understanding how neural networks work, you can build and train your own models to solve real-world problems.

To train a neural network, you need a dataset of labeled examples. For example, if you're trying to recognize cats and dogs, your dataset might consist of images of cats and dogs, each labeled as either "cat" or "dog."

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