The input was copied from the instructions - "Type a message into the text box, and the network will try to write it out longhand". But you can see it skipped the "e" in "Type" and added an "h" after the "w" in "network", and pretty clearly spelled "to" as "du".
It also tried to cross the first vertical line of the "w" in "network" in lieu of adding an actual "t" beforehand (which is arguably an idiosyncrasy a human's handwriting might have, if a rather odd one); and stuck a big phantom stroke/letter between "T" and "y".
Ha! What do you mean by human error though? An analogy with the self-driving cars example could be the human inadvertently made a typo when inputting the text sample in the above link...whereas if the dataset used in "teaching" this network to create handwritten text contained errors (e.g. the handwriting samples had "to" instead of "the" and many instances of "The" were missing the 'e').
Unless I misunderstood how this was developed...that could be the case ha!
http://i.imgur.com/cFrlyy8.png
The input was copied from the instructions - "Type a message into the text box, and the network will try to write it out longhand". But you can see it skipped the "e" in "Type" and added an "h" after the "w" in "network", and pretty clearly spelled "to" as "du".
It also tried to cross the first vertical line of the "w" in "network" in lieu of adding an actual "t" beforehand (which is arguably an idiosyncrasy a human's handwriting might have, if a rather odd one); and stuck a big phantom stroke/letter between "T" and "y".