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For questions related to BERT (which stands for Bidirectional Encoder Representations from Transformers), a language representation model introduced in the paper "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding" (2019) by Google.

2 votes

Why does the BERT encoder have an intermediate layer between the attention and neural networ...

The paper Undivided Attention: Are Intermediate Layers Necessary for BERT? should answer it. … In the abstract, they write All BERT-based architectures have a self-attention block followed by a block of intermediate layers as the basic building component. …
Tan Eugene's user avatar