Comments (5)
I am facing same problem.can anyone help?
from oreilly-captions.
it seems the model was trained on previous version of tf having a bit different layer architectures. i am training my own model and will ask for pull once it is trained upto good accuracy. And btw if u train your own model keep batch sizes to minimum. The model tends to diverge on larger batch sizes
from oreilly-captions.
Hey I used docker method.Its easy.try it ,you will not get error.
from oreilly-captions.
do you solve it?
from oreilly-captions.
from oreilly-captions.
Related Issues (17)
- AttributeError
- Trying to run on GPU HOT 1
- get_data() in O'Reilly Training.ipynb make kernel issues HOT 1
- please how to load the checkpoint on Jupyter? HOT 2
- The kernel appears to have died. It will restart automatically. HOT 1
- Notify someone on an issue with a mention HOT 2
- NotFoundError: Key RNN/basic_lstm_cell/bias not found HOT 1
- TypeError: unorderable types: str() < NoneType()
- Getting just "a" as output for many input images of Flickr30k HOT 1
- KeyError: "The name 'import/Relu_1:0' refers to a Tensor which does not exist. The operation, 'import/Relu_1', does not exist in the graph." HOT 4
- Where is the pre-trained model?
- AttributeError: 'NoneType' object has no attribute 'astype' HOT 3
- Running 3. on two images in a row is disallowed HOT 3
- Pretrained weights for oreilly-captions model? HOT 2
- Do we have to use docker? HOT 2
- ValueError: Variable RNN/basic_lstm_cell/weights already exists, disallowed. Did you mean to set reuse=True in VarScope?
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