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Feed-Forward Network

The position-wise fully connected layer inside each transformer block.

concept Algoritmos 1 relationships

Visão geral

The feed-forward network is the two-layer fully connected block applied to each position inside a transformer, usually expanding to several times the model dimension and back. It solves the problem that attention only mixes information between positions and performs no transformation of its own. It exists as the majority of a transformer's parameters, which is why mixture-of-experts replaces this layer rather than the attention.

Grafo de tecnologias

Como Feed-Forward Network se liga ao resto do stack.

Classification