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=== Handwriting recognition ===
TDNNs have been used effectively in compact and high-performance [[handwriting recognition]] systems.<ref>{{Cite journal |last=Guyon |first=I. |last2=Albrecht |first2=P. |last3=Le Cun |first3=Y. |last4=Denker |first4=J. |last5=Hubbard |first5=W. |date=1991-01-01 |title=Design of a neural network character recognizer for a touch terminal |url=https://www.sciencedirect.com/science/article/pii/003132039190081F |journal=Pattern Recognition |volume=24 |issue=2 |pages=105–119 |doi=10.1016/0031-3203(91)90081-F |issn=0031-3203}}</ref> Shift-invariance was also adapted to spatial patterns (x/y-axes) in image offline handwriting recognition.<ref name=":2" />
=== Video analysis ===
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