基础概念

Deep Learning

定义

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.

相关术语

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.

了解术语只是第一步，将其落地应用才是第二步。

预约一次探索通话，探讨这些 AI 概念如何转化到您所在的具体行业与业务挑战中。

Deep Learning

定义

相关术语

Neural Network

Machine Learning (ML)

Transformer

相关服务

了解术语只是第一步，将其落地应用才是第二步。

Deep Learning

定义

相关术语

Neural Network

Machine Learning (ML)

Transformer

相关服务

了解术语只是第一步，将其落地应用才是第二步。