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1D has 2D kernels #60
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Yeah, it also confuse me a lot. |
same error here |
Same error. In keras_resnet/models/_id.py
should be:
|
I have proposed a fix by uploading the code I have modified to work with 1D time series. |
so, this is the issue. |
I have a dataset with 1600 rows and 103 columns, when I used Conv1D in a sequential model I reshaped my data to (1600,103,1) and put the input_shape=(103,1) it worked fine. But when I use this model, after adding the fix in regards to kernel and strides, and shape (103,1) I get this error: |
@tackoo there is still the dimension problem after the fixes |
I made a fork fixing this issue
https://github.com/vincenzodentamaro/keras-resnet
Il giorno ven 16 apr 2021 alle ore 12:01 aadnesd ***@***.***>
ha scritto:
… @tackoo <https://github.com/tackoo> there is still the dimension problem
after the fixes
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Dr. Vincenzo Dentamaro
Information Systems Lab
Università degli Studi di Bari "Aldo Moro"
Department of Computer Science
Via Orabona 4, 70124 Bari, Italy
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Is it possible to install this fork? |
pip install git+https://github.com/vincenzodentamaro/keras-resnet.git
Il giorno ven 16 apr 2021 alle ore 12:42 aadnesd ***@***.***>
ha scritto:
… Is it possible to install this fork?
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Dr. Vincenzo Dentamaro
Information Systems Lab
Università degli Studi di Bari "Aldo Moro"
Department of Computer Science
Via Orabona 4, 70124 Bari, Italy
|
Seems 1D models are set to use 2D kernels. I went to use a 1D model and got the error:
ValueError:
Thekernel_size
argument must be a tuple of 1 integers. Received: (7, 7)The text was updated successfully, but these errors were encountered: