2026-04-17T02:51:48Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/3480622025-07-23T07:11:39Zcom_2072_1033col_2072_452951

urn:hdl:2117/348062 Understanding convolutional neural networks: theory and applications Zhu, Jieying Àrees temàtiques de la UPC::Matemàtiques i estadística Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial Artificial intelligence CNN Computer vision Convolutional networks Image classification Intel·ligència artificial Classificació AMS::68 Computer science::68T Artificial intelligence We focus on the theory of convolutional neural networks. Starting with a bit of history, then explaining its components. We mention some structures that played an important role throughout deep learning history and why convolutional neural networks are so successful in this field. Therefore we explain some applications of this kind of neural networks such as object classification or object detection using Tensorflow. 2021-06 Master thesis Restricted access - author's decision Universitat Politècnica de Catalunya Universitat de Barcelona