基礎

Deep Learning

定義

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.

関連用語

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

The dominant neural network architecture for language, vision, and multimodal AI, introduced in the 2017 "Attention Is All You Need" paper. Transformers use self-attention to process all tokens in parallel, enabling training on internet-scale data and powering every major LLM in use today.

AIの理解にお困りですか？

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Deep Learning

定義

関連用語

Neural Network

Machine Learning (ML)

Transformer

関連サービス

AIの理解にお困りですか？

Deep Learning

定義

関連用語

Neural Network

Machine Learning (ML)

Transformer

関連サービス

AIの理解にお困りですか？