ML//RNN//sequence-to-sequence

- Encoder RNN compresses input to a fixed-size vector, decoder RNN generates output from it.

Encoder RNN compresses input to a fixed-size vector, decoder RNN generates output from it.

The architecture behind early Google Translate.

Bottleneck: entire input squeezed into one vector — attention was invented to fix this.