I am reading the paper "Neural Turing Machines" of Alex Graves (2014) and there are two points that are unclear to me. I would be very grateful if someone could help me out.
- What do authors mean by leakage or dispersion ? I feel like adding the sharpening operation should not be required.
- (Second green part) Why cannot we focus on the exact same location by having a shift of zero ? I am missing something here
Thank you in advance for your help