Which term describes a subset of machine learning that uses deep neural networks?

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Multiple Choice

Which term describes a subset of machine learning that uses deep neural networks?

Explanation:
Deep learning is the subset of machine learning that uses deep neural networks to model complex patterns and learn representations from data. By stacking many layers, these networks automatically discover hierarchical features, enabling powerful modeling of tasks in vision, speech, and language with large datasets. This approach differs from Symbolic AI, which relies on explicit rules and symbolic reasoning, and from traditional ML that often depends on engineered features. Generative AI describes models that can create new data, and while many such models are built with deep learning, the term that specifically denotes using deep neural networks within machine learning is deep learning.

Deep learning is the subset of machine learning that uses deep neural networks to model complex patterns and learn representations from data. By stacking many layers, these networks automatically discover hierarchical features, enabling powerful modeling of tasks in vision, speech, and language with large datasets. This approach differs from Symbolic AI, which relies on explicit rules and symbolic reasoning, and from traditional ML that often depends on engineered features. Generative AI describes models that can create new data, and while many such models are built with deep learning, the term that specifically denotes using deep neural networks within machine learning is deep learning.

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