- attention-is-all-you-need-pytorch VS LFattNet
- attention-is-all-you-need-pytorch VS OpenPrompt
- attention-is-all-you-need-pytorch VS transformer-pytorch
- attention-is-all-you-need-pytorch VS BERT-pytorch
- attention-is-all-you-need-pytorch VS long-range-arena
- attention-is-all-you-need-pytorch VS allennlp
- attention-is-all-you-need-pytorch VS transformers
Attention-is-all-you-need-pytorch Alternatives
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attention-is-all-you-need-pytorch reviews and mentions
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Lack of activation in transformer feedforward layer?
I'm curious as to why the second matrix multiplication is not followed by an activation unlike the first one. Is there any particular reason why a non-linearity would be trivial or even avoided in the second operation? For reference, variations of this can be witnessed in a number of different implementations, including BERT-pytorch and attention-is-all-you-need-pytorch.
Stats
jadore801120/attention-is-all-you-need-pytorch is an open source project licensed under MIT License which is an OSI approved license.