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How do neural networks in AI mimic human brain functions, and what are the limitations?
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– AI (Artificial Intelligence):
– Creates systems that perform tasks requiring human-like intelligence (learning, reasoning, problem-solving).
– Applications: Natural language processing, computer vision, robotics.
– Neural Networks:
– A subset of AI inspired by the human brain’s structure, with interconnected nodes (neurons) in layers.
– Types: Feedforward networks (general tasks), Convolutional Neural Networks (CNNs) (image processing), Recurrent Neural Networks (RNNs) (sequential data).
– Applications: Image and speech recognition, language translation, predictive analytics.
Neural networks are crucial for enabling AI systems to learn from data and make decisions with minimal human intervention.
– AI (Artificial Intelligence):
– Creates systems that perform tasks requiring human-like intelligence (learning, reasoning, problem-solving).
– Applications: Natural language processing, computer vision, robotics.
– Neural Networks:
– A subset of AI inspired by the human brain’s structure, with interconnected nodes (neurons) in layers.
– Types: Feedforward networks (general tasks), Convolutional Neural Networks (CNNs) (image processing), Recurrent Neural Networks (RNNs) (sequential data).
– Applications: Image and speech recognition, language translation, predictive analytics.
Neural networks are crucial for enabling AI systems to learn from data and make decisions with minimal human intervention.
– AI (Artificial Intelligence):
– Creates systems that perform tasks requiring human-like intelligence (learning, reasoning, problem-solving).
– Applications: Natural language processing, computer vision, robotics.
– Neural Networks:
– A subset of AI inspired by the human brain’s structure, with interconnected nodes (neurons) in layers.
– Types: Feedforward networks (general tasks), Convolutional Neural Networks (CNNs) (image processing), Recurrent Neural Networks (RNNs) (sequential data).
– Applications: Image and speech recognition, language translation, predictive analytics.
Neural networks are crucial for enabling AI systems to learn from data and make decisions with minimal human intervention.