#Check a termination condition (to be determined by the user) to see whether to continue pruning.
Recently a highly pruning three layer tree architecture, has receivedachieved a similar success rate to that of LeNet-5 on the CIFAR-10 dataset with a lesser computational complexity.<ref>{{Cite journal |last=Meir |first=Yuval |last2=Ben-Noam |first2=Itamar |last3=Tzach |first3=Yarden |last4=Hodassman |first4=Shiri |last5=Kanter |first5=Ido |date=2023-01-30 |title=Learning on tree architectures outperforms a convolutional feedforward network |url=https://www.nature.com/articles/s41598-023-27986-6 |journal=Scientific Reports |language=en |volume=13 |issue=1 |pages=962 |doi=10.1038/s41598-023-27986-6 |issn=2045-2322 |pmc=PMC9886946 |pmid=36717568}}</ref>
