DL

Deep Learning

DL is the acronym for Deep Learning.

What is Deep Learning?

A subfield of machine learning (ML) and artificial intelligence (AI). Deep learning focuses on artificial neural networks with multiple hidden layers, hence the term deep. These networks are inspired by the structure and function of the human brain.

Deep learning algorithms automatically learn to represent data by training on large datasets using a process called backpropagation. They are particularly effective at handling complex, high-dimensional data, such as images, speech, and natural language.

Deep learning has been responsible for many recent advances in AI, including breakthroughs in image recognition, natural language processing, and speech recognition. Some popular deep learning architectures include convolutional neural networks (

CNNs), recurrent neural networks (RNNs), and transformers.

  • Abbreviation: DL
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