Pronunciation: /diːp ˈlɜrnɪŋ/
noun a type of machine learning that uses multiple layers of neural networks to analyze and learn from data
A1 Deep learning is a type of artificial intelligence.
A2 I am learning about deep learning in my computer science class.
B1 Deep learning algorithms are used in image recognition technology.
B2 Researchers are constantly improving deep learning models for better accuracy.
C1 The complexity of deep learning networks requires advanced mathematical knowledge.
C2 Deep learning has revolutionized the field of natural language processing.
adjective describing the type of learning that is characterized by a high level of complexity and abstraction
A1 Deep learning is a type of artificial intelligence.
A2 Deep learning algorithms can be used to recognize patterns in data.
B1 Deep learning models require large amounts of training data.
B2 Deep learning techniques have revolutionized the field of computer vision.
C1 Deep learning architectures such as convolutional neural networks have shown impressive results in image recognition tasks.
C2 Deep learning research is pushing the boundaries of what is possible in machine learning.
formal Deep learning is a subset of artificial intelligence that involves training neural networks on large amounts of data.
informal I've been reading up on deep learning and it's really fascinating how computers can learn on their own.
slang I'm diving into deep learning to see if I can teach my computer some new tricks.
figurative Exploring the depths of deep learning is like unraveling the mysteries of the digital world.
deep learnings
deeper learning
deepest learning
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has deep learned
is deep learning
deep learning
very deep learning
to deep learn
deep learning
deep learned