01064nam0 22002891i 450 VAN001781020050228120000.088-214-2900-820040615d1994 |0itac50 baitaIT|||| |||||Memoria, sogno e delirioaspetti integrativi teorici e clinicia cura di Adolfo Pazzagli, Romolo RossiMilanoMasson1994XII, 124 p.24 cm.MemoriaPsicopatologiaVANC008891FIMilanoVANL000284616.8523221PazzagliAdolfoVANV013766RossiRomoloVANV013765Masson <Italia> <editore>VANV107929650ITSOL20230804RICABIBLIOTECA DEL DIPARTIMENTO DI PSICOLOGIAIT-CE0119VAN16VAN0017810BIBLIOTECA DEL DIPARTIMENTO DI PSICOLOGIA16CONS 1974 16LET5741 20040615 Memoria, sogno e delirio965486UNICAMPANIA04103nam 2201009z- 450 991055755390332120210501(CKB)5400000000044067(oapen)https://directory.doabooks.org/handle/20.500.12854/68541(oapen)doab68541(EXLCZ)99540000000004406720202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierInnovative Topologies and Algorithms for Neural NetworksBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (198 p.)3-0365-0284-X 3-0365-0285-8 The introduction of new topologies and training procedures to deep neural networks has solicited a renewed interest in the field of neural computation. The use of deep structures has significantly improved state-of-the-art applications in many fields, such as computer vision, speech and text processing, medical applications, and IoT (Internet of Things). The probability of a successful outcome from a neural network is linked to selection of an appropriate network architecture and training algorithm. Accordingly, much of the recent research on neural networks has been devoted to the study and proposal of novel architectures, including solutions tailored to specific problems. This book gives significant contributions to the above-mentioned fields by merging theoretical aspects and relevant applications.Information technology industriesbicssc3D convolution neural networkaction recognitionalternative fusion neural networkArabic named entity recognitionattention mechanismautoencodersbidirectional gated recurrent unitbidirectional recurrent neural networkChinese text classificationCNNconvolution neural Networksconvolutional neural networkconvolutional neural networksdeep convolutional neural networksdeep learningdistributed systemselements recognitionembedded deep learningfacial image analysisfacial nerve paralysisfeature fusionfully convolutional networkfused featuresgesture recognitiongradient-weighted class activation mapsgraph convolutional networkgraph partitioningGRUhuman computer interactionimage classificationInternet of ThingsIoT (Internet of Thing) systemslinguistic featureslong short-term memorylong short-term-memorylong-short-term memory networksLSTMLSTM-CRF modelmedical applicationsmotion mapmulti-label learningnatural language processingobject detection networkobject recognitionpedestrian attribute recognitionPOS syntactic rulesresource-efficient inferencescalabilitysentiment analysissentiment attention mechanismship identificationtext recognitiontooth-marked tongueword embeddingInformation technology industriesXibilia Maria Gabriellaedt1096523Graziani SalvatoreedtXibilia Maria GabriellaothGraziani SalvatoreothBOOK9910557553903321Innovative Topologies and Algorithms for Neural Networks3018938UNINA