Comments (1)
philipperemy
commented on September 21, 2024
Maybe update to the latest version?
{'name': 'tcn', 'trainable': True, 'batch_input_shape': (None, 10, 2), 'dtype': 'float32', 'nb_filters': 1, 'kernel_size': 3, 'nb_stacks': 1, 'dilations': (1, 2, 4, 8, 16, 32), 'padding': 'causal', 'use_skip_connections': False, 'dropout_rate': 0.0, 'return_sequences': False, 'activation': 'relu', 'use_batch_norm': False, 'use_layer_norm': False, 'use_weight_norm': False, 'kernel_initializer': 'he_normal'}
virtualenv venv
pip install keras-tcn
python test.py
Where test.py contains:
from tcn import TCN
time_steps = 10
input_dim = 2
tcn_layer = TCN(input_shape=(time_steps, input_dim), nb_filters=1, use_skip_connections=False)
print(tcn_layer.get_config())I will close this issue. Let me know if you need some extra help.
from keras-tcn.
Related Issues (20)
- What does' timestep 'in the input dimension mean? HOT 5
- Target variable prediction With time series: separate train and test set HOT 2
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- 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 3
- Visualization of internal structure of TCN block HOT 1
- Low accuracy in keras-tuner based TCN model for audio classification HOT 6
- Saving a loaded model gets warning and then fails to open HOT 1
- exchange_rate.txt HOT 5
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