Related Issues (20)
- Skip-connection in Transformer HOT 1
- after run your demo i get a error result like this.why?
- Transformer encoder layer instead of Bidirectional LSTM HOT 1
- K.mean() in computing loss doesn't make any sense.
- Using the transformer instead of a simple LSTM layer HOT 2
- dimension in GetSubMask
- the test demo
- ScaledDotProductAttention
- seq2seq confused with shape HOT 1
- the mask of attention
- why get same output with different input? HOT 4
- Using the approach for video encoding.
- Difference between decode_sequence_fast and decode_sequence_readout?
- Time series forecasting?
- layer norm end of the encoder?
- startup error HOT 8
- reshape may not match
- after embedding layer HOT 1
- Licence
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