Deep Learning Architecture and Applications

As one of the fastest-growing topics in machine learning, deep learning algorithms have achieved unprecedented success in recent years. Novel paradigms (such as contrastive learning and few-shot learning) in deep learning and rising neural network architectures (e.g., transformer and masked autoenco...

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Format:	Online
Idioma:	anglès
Publicat:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Matèries:	Convolutional Neural Network (CNN) pooling deep learning computer vision image analysis benchmark lithium-ion battery prognostics long short-term memory ARIMA reinforcement learning generative adversarial networks deep-learning crop/weed classification transfer learning feature extraction natural language processing image-text matching cheapfakes misinformation transformer encoder RoGPT2 control tokens summarization text generation human evaluation tricalcium silicate analytical model ion activity dissolution kinetics deep forest subsurface fluid flow Fourier neural operator small-shape data finite element method convolutional neural network sensitivity analysis source code comments classification machine learning techniques ANN flow law constitutive behavior radial return algorithm numerical implementation VUHARD GrC15 Abaqus Explicit defect detection surface defect detection defect detection for X-ray images defect recognition photoacoustic imaging image processing simulation reconstruction residual echo suppression acoustic echo cancellation speech enhancement graph neural network variational autoencoder nearest neighbours acute myeloid leukemia risk factors average treatment effect uplift modelling machine learning benzene ANOVA Shapley values self-explaining neural networks generalised additive models interpretability Siamese networks synthetic data cyclic learning unsupervised learning data augmentation single cell cultivation bioimage analysis finite element simulation plausibility checks convolutional neural networks storm surge hurricane forecasting CNN LSTM physics informed neural network dynamic force identification duffing’s equation spring mass damper system non-linear oscillators massive MIMO hybrid beamforming compressive measurement matrix long short-term memory network capsule network routing algorithm thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science
Accés en línia:	ONIX_20231130_9783036588308_70
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ONIX_20231130_9783036588308_70

Deep Learning Architecture and Applications

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