000			01894nam a2200349Ia 4500
000			03011nam a22003735i 4500
001			978-3-031-37320-6
003			DE-He213
005			20240319120949.0
007			cr nn 008mamaa
008			230706s2023 sz | s |||| 0|eng d
020			_a9783031373206 _9978-3-031-37320-6
082			_a6.3
245			_aDeep Learning Theory and Applications _cedited by Ana Fred, Carlo Sansone, Kurosh Madani. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aXI, 151 p. 71 illus., 51 illus. in color. _bonline resource.
520			_aThis book constitutes the refereed post-proceedings of the First International Conference and Second International Conference on Deep Learning Theory and Applications, DeLTA 2020 and DeLTA 2021, was held virtually due to the COVID-19 crisis on July 8-10, 2020 and July 7-9, 2021. The 7 full papers included in this book were carefully reviewed and selected from 58 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structuredand unstructured multimodal data sources, natural language understanding andtranslation, and many other application domains.
650			_aArtificial intelligence. _933882
650			_aArtificial Intelligence. _933883
650			_aComputer Communication Networks. _933884
650			_aComputer networks . _933885
650			_aComputer science _933886
650			_aComputer System Implementation. _933887
650			_aComputer systems. _933888
650			_aMathematics of Computing. _933889
700			_aFred, Ana. _933890
700			_aMadani, Kurosh. _933891
700			_aSansone, Carlo. _933892
856			_uhttps://doi.org/10.1007/978-3-031-37320-6
942			_cEBK _2ddc
999			_c15427 _d15427