Keras Conv1D or Convolution1D
They are just for different keras versions, before Keras 2.0 the layers were called ConvolutionalND for N = 1, 2, 3, and since Keras 2.0 they are just called ConvND.
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.