Comments (1)
Seq2seq is an encoder decoder model.. so the input length and output length are arbitrary. If your input length is less than output length, its just like overshooting!
from seq2seq.
Related Issues (20)
- Setting Activations on layers HOT 3
- Error when importing
- after predict, it is not integers result, how to output integers?
- How to set the type of activation function of output inside the LSTM block of decoder? HOT 1
- About algorithm
- Cudnn based LSTM Layers?
- Setup error
- good framework HOT 1
- predict model
- add seq2seq layer to embedding layer with mask raise "Exception: Layers should have equal number of output tensors and output masks. Layer recurrent_sequential_1 has 3 output tensors and 4 output masks." HOT 4
- any way to visualize attention activation? HOT 3
- predicte wrong answer using seq2seq model(all test sample predicte same answer) HOT 2
- How to use seq2seq for simple sequences HOT 1
- Bad results of a simple translation task. Ask for help...:(
- error:name 'K' is not defined HOT 3
- IndexError: index 3 is out of bounds for axis 0 with size 3 HOT 1
- ImportError: cannot import name 'keras_test' from 'keras.utils.test_utils' HOT 1
- ValueError: An operation has `None` for gradient. HOT 2
- Images from readme file are not displayed
- cannot import name 'tensorflow_backend' from 'keras.backend'
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from seq2seq.