Comments (3)
This project uses Theano as Backend.
from seq2seq-chatbot-for-keras.
These links can help you:
https://stackoverflow.com/questions/42177658/how-to-switch-backend-with-keras-from-tensorflow-to-theano
and
keras-team/keras#5374
from seq2seq-chatbot-for-keras.
i am facing same problem and i can't handle it
I am working on colab so I can't understand how to change the backend to theano ?
from seq2seq-chatbot-for-keras.
Related Issues (20)
- Parameters of the model ? HOT 1
- limit = l[0][0] - IndexError: index 0 is out of bounds for axis 0 with size 0 HOT 5
- Error while running conversation.py HOT 6
- TypeError: Value passed to parameter 'shape' has DataType float32 not in list of allowed values: int32, int64 HOT 8
- NameError: name 'embedding_matrix' is not defined HOT 3
- Getting AttributeError:int cannot find replace. HOT 5
- TypeError: 'module' object is not callable when executing train_bot.py HOT 4
- enhancement - investigate supplying conda environment.yml / requirements.txt with exported python 2.7.6 dependencies HOT 2
- Not a big deal, but Ubuntu does not like the spaces in the names HOT 4
- Any documentation on how to train it on our own data for the new GAN based algorithm? HOT 1
- eroor while running conversation.py HOT 1
- Any suggestion for large datasets? HOT 1
- how many data
- Python 3.7.x Theano AssertionError when starting the model in conversation.py HOT 2
- training custom data HOT 1
- where did you proposes a persona embedding? HOT 2
- how a new vocabulary file can be generated? HOT 5
- KeyError:Something HOT 4
- File vocabulary_movie HOT 3
- The file seq2seq_model.h5 isnt exist
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