Comments (1)
Hi, it all depends on the exact problem you're trying to solve, and the best way to figure out how long it would take is by training a very small model for one epoch and extrapolating the results. If you want to do something with new music generation then one album will not be enough. Try looking at the http://www.deeplearningbook.org if you want to get a better understanding of deep learning. Good luck!
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Related Issues (20)
- input dimemsion mis-match HOT 1
- TypeError: ('Keyword argument not understood:', 'causal') HOT 16
- I can successfully run this code but not the right result HOT 1
- Can't train network, basveeling's branch of Keras didn't help HOT 1
- Stuck on loading data HOT 3
- PR to Keras HOT 2
- I am writing a book on keras and wanted to mention your work on Wavenet
- Why is local conditioning hard to implement? Would be willing to help HOT 1
- Working with Keras 2.0 HOT 5
- What do need to try other languages, for examples russian or spanish? HOT 1
- Python Version HOT 1
- Generate voice from text file HOT 1
- What if I want to use this code to generate a signal waveform(not audio)
- ' learn_all_outputs'
- Save the weights and training config
- Should tanh_out and sigm_out in residual_block share the same convolutional output HOT 4
- How to Predict on Batches HOT 1
- Should an increase in dilation rate reduce the number of training parameters? HOT 1
- Parametric or concatenative TTS projects for comparision? HOT 1
- virtualenv issue
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