Comments (4)
albertocattani
commented on August 11, 2024
Hi,
Can I know how did you manage it?
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subzerofun
commented on August 11, 2024
Sorry, unfortunately – as you see – i didn't get an answer. And couldn't fix it myself.
This project is interesting to try out, but could be improved in a lot of areas. So it seems for now you need to watch your training results and when it reaches a point where the output sounds interesting just save it somewhere. If you start training again from scratch chances are high that you will get a completely different output.
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bgroenks96
commented on August 11, 2024
Don't expect to get very impressive results out of stock GRUV. You should try tweaking the model or maybe even reframing the problem on your own.
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albertocattani
commented on August 11, 2024
@bgroenks96 could you please explain to us the simplest way to restore a training process? Thank you very much!
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Related Issues (20)
- Exception: Layer timedistributeddense_1 requires to know the length of its input, but it could not be inferred automatically. HOT 7
- parse_files.py:72: ComplexWarning: Casting complex values to real discards the imaginary part HOT 2
- CPU not GPU HOT 1
- How to continue training without losing the song structure | hidden_dimension_size handling
- local variable 'epoch_logs' referenced before assignment HOT 1
- Exception: Compilation failed (return status=1)
- Is training process being persisted?
- I can't run convert_directory.py successfully HOT 1
- python convert_directory.py HOT 6
- AssertionError HOT 3
- Keras Issue HOT 10
- generation after trainig - empty wav file HOT 2
- Error on training
- Generation shape issue
- slice indeces must be integers HOT 2
- name 'xrange' is not defined HOT 4
- 'sox' is not recognized as an internal or external command, operable program or batch file.
- struggling to install lame HOT 1
- It would be great to have a docker image (or similar)
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