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, which are inspired by the human brain's structure and function.
  • Layers: Neural networks consist of layers, including input, hidden, and output layers.
  • Activation Functions: These functions help to determine whether a neuron should be activated or not.
  • Backpropagation: This is a technique used to train neural networks by adjusting the weights and biases.

Applications

Deep learning has a wide range of applications, including:

  • Image Recognition: Identifying objects and features in images.
  • Speech Recognition: Converting spoken words into text.
  • Natural Language Processing: Understanding and generating human language.
  • Medical Diagnosis: Analyzing medical images and predicting diseases.

Further Reading

For more information on deep learning, you can visit our Machine Learning page.

Deep Learning Neural Network