Keras Conv1D or Convolution1D
It's not about the versions. The n stands for the dimension of data, for e.g. if you are using a text data you use n=1 i.e. convolution1d. The value of n=2 is used for images. The value for n=3 goes for mri or ct scan. So, depending on the dimensions we use the value.
I came across multiple implementations of a CNN in Keras and noticed that some people use Conv1D from from keras.layers.convolutional import Conv1D and others use Convolution1D from from keras.layers import Convolution1D. Is there a difference or an advantage to either one or are they possibly simply just different versions of Keras.