Which aspect of computing uses large amounts of data to train complex neural networks?

The correct answer is B. Deep learning. Deep learning, a subset of machine learning, relies on large datasets to train multi-layered neural networks, enabling them to learn hierarchical feature representations and complex patterns autonomously. While machine learning encompasses broader techniques (some requiring…

NVIDIA Certified Associate (NCA) Core AI Concepts

Question

Options

AMachine learning
BDeep learning
CInferencing

How the community answered

(26 responses)

A
8% (2)
B
88% (23)
C
4% (1)

Explanation

Deep learning, a subset of machine learning, relies on large datasets to train multi-layered neural networks, enabling them to learn hierarchical feature representations and complex patterns autonomously. While machine learning encompasses broader techniques (some requiring less data), deep learning's dependence on vast data volumes distinguishes it. Inferencing, the application of trained models, typically uses smaller, real-time inputs rather than extensive

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#Deep Learning#Neural Networks#Machine Learning#AI Concepts

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