Quick Answer
What is Deep Learning?
Deep Learning is a type of machine learning that uses many-layered neural networks to learn complex patterns.
Machine Learning
Deep Learning
By Glintr Editorial TeamReviewed by Glintr Learn ReviewersUpdated 5 min readArea: Machine Learning
Definition
Deep Learning refers to machine learning with neural networks that have many layers. It is the technology behind image recognition, speech recognition, and large language models like ChatGPT and Gemini.
In technical terms
Deep networks are typically feed-forward, convolutional or transformer-based, trained with backpropagation and stochastic gradient descent on large labeled or self-supervised datasets.
Real-world examples
- Convolutional networks classifying images.
- Transformer models powering ChatGPT and Claude.
- Speech-to-text systems in phones and cars.
Related Concepts
- Machine LearningMachine Learning is a branch of AI where systems learn patterns from data instead of following fixed rules.
- Neural NetworkA Neural Network is a computational model of interconnected nodes that transform inputs into outputs through learned weights.
- Artificial IntelligenceArtificial Intelligence is the field of building software systems that can perceive, reason, learn and generate content.
- Large Language ModelA Large Language Model is an AI system trained on massive text data to understand and generate human-like language.