What is the default stride length in Keras' Conv1D?
Multi tool use
Clash Royale CLAN TAG#URR8PPPWhat is the default stride length in Keras' Conv1D?
Currently, I am tuning my model by testing the Kernel size.
I have the following code :
code
x = embedding_layer(input_4)
x = Conv1D(FILTERS, KERNEL, activation='relu')(x)
x = Dropout(DROPOUT)(x)
x = Conv1D(FILTERS, KERNEL, activation='relu')(x)
x = Dropout(DROPOUT)(x)
x = Conv1D(FILTERS, KERNEL, activation='relu')(x)
x = Dropout(DROPOUT)(x)
x = Conv1D(FILTERS, KERNEL, activation='relu')(x)
x = Dropout(DROPOUT)(x)
x = Conv1D(FILTERS, KERNEL, activation='relu')(x)
x = Dropout(DROPOUT)(x)
x = MaxPooling1D(3)(x)
x = Conv1D(FILTERS, KERNEL, activation='relu')(x)
x = Dropout(DROPOUT)(x)
x = Conv1D(FILTERS, KERNEL, activation='relu')(x)
x = Dropout(DROPOUT)(x)
x = Conv1D(FILTERS, KERNEL, activation='relu')(x)
x = Dropout(DROPOUT)(x)
x = Conv1D(FILTERS, KERNEL, activation='relu')(x)
x = Dropout(DROPOUT)(x)
x = Conv1D(FILTERS, KERNEL, activation='relu')(x)
x = Dropout(DROPOUT)(x)
x = MaxPooling1D(3)(x)
When the Kernel is 2 or 3, the network runs fine, but from 4 onwards it runs into an error about the dimensionality. I suspect that it has to do with the stride length. However, the Keras website (https://keras.io/layers/convolutional/) does not say what the default stride length is.
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Keras
My question now is: what is default stride length in Keras' Conv1D? And what would be a good stride length for a kernel size of 4 and for a kernel size of 5?
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1 Answer
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From Conv1D, the default stride length is 1. Unless you have a concrete justification for another length, a stride length of 1 is usually appropriate.
The error you get is probably because the output dimension of a 1D convolutional layer is:
output_dim = 1 + (input_dim - kernel_size)/stride
And after stacking several 1D convolutional layers, you might be reaching a layer in which the input dimensionality is smaller than the kernel size.
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