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deep learning
This term refers to a specific architecture of artificial intelligence that mimics the human brain's neural structure. It is distinguished from traditional machine learning by its use of multiple hidden layers, which enables the system to automatically discover the representations needed for feature detection without manual human intervention.
In professional and academic contexts, it is treated as a technical discipline. While it is a subset of machine learning, the term is often used in marketing and industry to signal a higher level of complexity and capability, particularly in tasks involving unstructured data like voice, text, and images.
Meanings
Examples
Deep learning has revolutionized the field of medical diagnostics.
I wonder if deep learning will eventually surpass human intuition in art.
We need a more powerful GPU to train this deep learning model.
The professor explained how deep learning differs from traditional machine learning.
Our startup is leveraging deep learning to optimize supply chain logistics.
Is deep learning really the best approach for this specific dataset?
The autonomous vehicle relies on deep learning to detect pedestrians in real time.
He spent the entire night debugging his deep learning architecture.
Deep learning allows for the processing of unstructured data like voice and images.
Deep learning allows for the processing of unstructured data like voice and images.