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1d convolution in keras

Could you explain me, how 1d convolution works in keras? Where are we going to use it?

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1 Answers

1D convolution is the most simple convolutional case.
It can be used to extract local data from 1 dimentional input, like vectors.
It is also beeing used in NLP implementations, cause ever sentance can be a vector and every part of it, could have been a word. Anyway here is a visualization of it.

w1, w2, w3 are the weights of convolutional layer.

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