What are the advantages of neural networks?
Neural networks are great for handling complex data patterns, making them ideal for tasks like image and speech recognition.
Can you explain how they learn from data?
Sure! They learn through a process called training, where they adjust their weights based on the errors in their predictions.
What makes them better than traditional algorithms?
Neural networks can model non-linear relationships and learn from large datasets, which traditional algorithms often struggle with.
Are there any limitations to using neural networks?
Yes, they require a lot of data and computational power, and they can be prone to overfitting if not managed properly.
How do they compare to other machine learning models?
They often outperform other models in tasks like image classification and natural language processing, but they can be less interpretable.
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