Comments (6)
from keras-tcn.
@gehaniaarti have you tried with the default parameters? It looks like your dataset is very small. TCN are harder to train than CNN and MLP. If you look at the examples, TCN need tens of thousands of example to perform well. Also what data are you using for audio classification? Spectrogram? Wavelengths?
from keras-tcn.
from keras-tcn.
Default parameters means just calling TCN()
like this.
Yes I think your dataset is too small to have something that can work reasonably well.
from keras-tcn.
from keras-tcn.
Yes the dataset is too small.
from keras-tcn.
Related Issues (20)
- TCN for Time Series Image Classification HOT 3
- ValueError: Cannot serialize LeakyReLU since it doesn't implement `get_config()`, and also doesn have `__name__` HOT 2
- setup.py requirements on mac os HOT 7
- How do I use a masking layer for TCN? I want to mask certain time steps which are missing. HOT 4
- ValueError: Unknown layer: TCN when trying to load saved model HOT 3
- Dilations and nb_stack relationship HOT 4
- The parameter of the TCN HOT 7
- Masking time steps in order to use TCN for variable length sequences HOT 2
- data shape of tcn layer HOT 1
- help one regression per sequence HOT 1
- Ensuring unique weights when a model uses multiple TCNs HOT 2
- Question: TCN Dilated Convolutions? HOT 3
- How can i use TCN to build seq2seq model? HOT 1
- keras-tcn for R HOT 1
- Visualization of internal structure of TCN block HOT 1
- Saving a loaded model gets warning and then fails to open HOT 1
- exchange_rate.txt HOT 5
- Question: Skip connections HOT 2
- Why is the data form (batch_size, timesteps, input_dim) instead less accurate than (batch_size, input_dim, timesteps)?
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