DL — Deep Learning

Deep Learning (DL) is a subset of machine learning that uses multi-layered neural networks to learn complex patterns from large amounts of data.

Deep learning is particularly powerful for unstructured data such as:

• Images
• Audio
• Video
• Natural language
• Speech

A simplified structure looks like:

Input
  ↓
Neural Network Layer
  ↓
Neural Network Layer
  ↓
Neural Network Layer
  ↓
Output

The word “deep” refers to the multiple layers in the neural network.

For example, when recognizing a face:

Image
 ↓
Edges
 ↓
Shapes
 ↓
Eyes / Nose / Mouth
 ↓
Face features
 ↓
Person identified

Modern systems such as large language models are built using deep-learning techniques.

DL = ML using deep neural networks to learn complex patterns.