Fondamental Aktualisiert 2026-04
Deep Learning
Definition
Deep Learning is a subset of Machine Learning using multi-layered neural networks to learn complex representations from raw data.
Siehe auch im Glossar
M
Machine Learning
Machine Learning is a branch of AI where systems learn from data to improve their performance without being explicitly programmed for each task.
N
Neural Network
A neural network is a computing model inspired by the human brain, composed of layers of interconnected nodes that process information to learn patterns.
L
LLM (Large Language Model)
An LLM is an AI model trained on billions of texts, capable of understanding and generating human language.
T
Transformer
The Transformer is the neural network architecture powering all modern LLMs, invented by Google in 2017.
Tools, die deep learning verwenden
Häufig gestellte Fragen
What's the difference between Machine Learning and Deep Learning?
ML uses classic algorithms requiring manually extracted features. Deep Learning automatically learns features from raw data through deep neural networks.
Does Deep Learning require a lot of data?
Yes, generally. Performant DL models are trained on millions or even billions of examples. That's why powerful GPUs and large datasets are essential.
