I would like to implement a convolutional autoencoder in Tensorflow, but it is not clear how the decoder part should work.
Each layer of the encoding, is a convolutional layer with activation function and then a pooling layer.
But how will the decoding work? I know that I have to add padding in each layer, but what will be the reverse of the convolution? How will it reproduce the original data from much less variables and the padding?