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Typically for a CNN architecture, in a single filter as described by your number_of_filters parameter, there is one 2D kernel per input channel. There are input_channels * number_of_filters sets of …
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Dec 8, 2020 · 0 I am working on LSTM and CNN to solve the time series prediction problem. I have seen some tutorial examples of time series prediction using CNN-LSTM. But I don't know if it is …
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Sep 10, 2022 · I am trying to do multi class(16) classification, however no matter what parameters or number of layers I use my accuracy is not improving, its in 30s the max I got was 43. I have …
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