Comments (4)
philipperemy
commented on August 30, 2024
@alextheseal I really don't have much time working on that now :/ Very sorry... Could you find an answer?
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alextheseal
commented on August 30, 2024
I'll dig through the dilated convolution code in Keras and see if I can figure it out.
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philipperemy
commented on August 30, 2024
Thanks! I'll probably be able to help in one or two weeks. Been quite busy with other projects.
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philipperemy
commented on August 30, 2024
@alextheseal thanks for the visuals. I could finally work on the project again and I updated the code. In your case, with kernel size=8, dilation values of [1,2,4,8] and stacks=3, the receptive field will 8 * 8 * 3 = 192.
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Related Issues (20)
- 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
- Question: Skip connections HOT 2
- Why is the data form (batch_size, timesteps, input_dim) instead less accurate than (batch_size, input_dim, timesteps)?
- Keras 3 support HOT 7
- Confusion about regression or classification head HOT 1
- AttributeError: 'tuple' object has no attribute 'as_list' HOT 3
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