1. So far we have looked at 2D convolutions. Recall from our lectures that a convolution is a linear classifier in the space of patches of the image. Can we apply a convolution to a 1D feature vector? Below we have an example of a 10 convolution of stride=2 applied to a 1D feature vector. 2 54 1 -15 -61 42 1 1 -1 3 6 10 -1 -2