Fondamentaux

Deep Learning

Définition

A subset of machine learning based on artificial neural networks with multiple layers. Deep learning can learn complex patterns from large amounts of data and is particularly effective for image recognition, speech processing, and natural language understanding.

Termes Connexes

Neural Network

A computing system inspired by biological neural networks in the brain. It consists of interconnected nodes (neurons) organized in layers that process information and can learn patterns from data.

Machine Learning (ML)

A subset of AI that enables systems to automatically learn and improve from experience without being explicitly programmed. ML algorithms build models based on training data to make predictions or decisions.

Transformer

A neural network architecture that uses self-attention mechanisms to process sequential data. Transformers are the foundation of modern LLMs and have revolutionized NLP by enabling parallel processing and capturing long-range dependencies.

Services Connexes

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