{"id":"doi:10.1016/j.neunet.2020.01.018","kind":"article","title":"Theory of deep convolutional neural networks: Downsampling","authors":["Ding‐Xuan Zhou"],"author_count":1,"year":2020,"published":"2020-01-25","venue":"Neural Networks","cited_by":263,"doi":"10.1016/j.neunet.2020.01.018","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.neunet.2020.01.018","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.neunet.2020.01.018","updated":null,"pmid":"32036229","pmcid":null,"openalex_id":"W3002335888","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Neural Networks and Applications"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"ai-mathematics","name":"AI for Mathematics & Formal Proof","domain_slug":"math-cs"}],"cited_in_dossiers":[]}