1d convolution in keras

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

kerasconvolution
2 votesJW234.00
1 Answers
JO220.00
2

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.

Reply
Couldn't find what you were looking for?and we will find an expert to answer.
How helpful was this page?