What is the role of neural networks in AI and how do they work?
Neural networks are AI models inspired by the human brain. They consist of layers of interconnected nodes (neurons), which process and learn from data. In supervised learning, they adjust weights based on errors to improve predictions. Neural networks excel at tasks like image recognition, speech processing, and natural language understanding, as they can automatically detect patterns in complex, large-scale data sets without needing manual feature extraction. These concepts are central in an Artificial Intelligence and Machine Learning course.
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