Deep Learning Architecture and Applications

• その他の著者: Zhang, Xiang (編集者), Li, Xiaoxiao (編集者)
• フォーマット: 電子媒体 図書の章
• 言語: 英語
• 出版事項: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• 主題: Information technology industries; Computer science; 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
• オンライン･アクセス: DOAB: download the publication; DOAB: description of the publication

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...