Deep learning is a subset of machine learning that structures algorithms in layers to create an "artificial neural network" that can learn and make intelligent decisions on its own.

Key Concepts

  • Neural Networks: Deep learning uses neural networks to model complex patterns in data.
  • Layers: A neural network consists of layers, including input, hidden, and output layers.
  • Activation Functions: These functions help determine whether a neuron should be activated or not.

Applications

Deep learning is used in various fields, including:

  • Image Recognition: Identifying objects in images, such as faces or animals.
  • Speech Recognition: Transcribing spoken words into text.
  • Natural Language Processing: Understanding and generating human language.

Further Reading

For more information on deep learning, check out our Introduction to Machine Learning.

Deep Learning Neural Network