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Software Engineering vocabulary · Machine Learning and Data Processing

Deep learning

Meaning in software engineering, with examples

nounCore term

In software engineering, deep learning means: The part of machine learning that uses neural networks with many layers. It powers modern speech recognition, image recognition and large language models.

In Turkish: derin öğrenme

How it is used

Used for the field, its methods and its tools: deep learning frameworks, deep learning models, a deep learning course. It is usually contrasted with 'classical' or 'traditional' machine learning, which uses simpler models and hand-made features.

Example sentences

  1. For tabular data, gradient-boosted trees often still beat deep learning.

  2. Deep learning needs far more data and compute than our old pipeline did.

Common collocations

  • deep learning model
  • deep learning framework
  • deep learning research
  • apply deep learning
  • neural networkA model made of many connected units arranged in layers, loosely inspired by the brain. Each connection has a weight that is adjusted during training.
  • machine learningA branch of artificial intelligence in which computers learn patterns from data and use them to make predictions or decisions, instead of following rules written by hand.
  • layerOne level of a neural network: a group of units that takes the output of the previous level, transforms it and passes the result on to the next one.
  • GPUShort for graphics processing unit: the chip that renders a game's images by running shaders and drawing millions of pixels every frame. The CPU handles most of the game logic.

This word in other fields

The same English word can have a different meaning in another field:

More terms: Machine Learning and Data Processing

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