Deep Learning
What is Deep Learning?

Deep learning is a subset of machine learning (ML), which is itself a subset of artificial intelligence (AI). The concept of AI has been around since the 1950s, with the goal of making computers able to think and reason in a way similar to humans. As part of making machines able to think, ML is focused on how to make them learn without being explicitly programmed. Deep learning goes beyond ML by creating more complex hierarchical models meant to mimic how humans learn new information.

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  • Neural networks drive deep learning
  • Deep learning driving the future
  • How does deep learning work?
  • Deep learning vs. machine learning
  • Current applications of deep learning
  • Speed deep learning adoption with HPE
Neural networks drive deep learning

Neural networks drive deep learning

In the context of AI and ML, a model is a mathematical algorithm that is trained to come to the same result or prediction that a human expert would when provided the same information. In deep learning, the algorithms are inspired by the structure of the human brain and known as neural networks. These neural networks are built from interconnected network switches designed to learn to recognize patterns in the same way the human brain and nervous system does.

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Related topics

Artificial Intelligence

Machine Learning