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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| 格式: | Online |
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| 語言: | 英语 |
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| 在線閱讀: | ONIX_20231130_9783036588308_70 |
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| _version_ | 1869522359747084288 |
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| collection | Directory of Open Access Books |
| description | 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 autoencoder) are dramatically changing the field of data-driven algorithms. More importantly, deep learning models are redefining the next generation of industrial applications spanning image recognition, speech processing, language translation, healthcare, and other sciences. For example, recent advances in deep representation learning are allowing us to learn about protein 3D structures, which sheds new light on fundamental medicine and biology along with potentially bringing in billions of dollars (e.g., in the pharmaceutical market). This collection gathers the advanced studies of novel deep learning algorithms/frameworks and their applications in real-world scenarios. The topics cover, but are not limited to, supervised learning, explainable deep learning, finance, healthcare, and sciences. |
| format | Online |
| id | doab-20.500.12854ir-128618 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1286182024-03-30T12:51:25Z Deep Learning Architecture and Applications Zhang, Xiang Li, Xiaoxiao 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 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 autoencoder) are dramatically changing the field of data-driven algorithms. More importantly, deep learning models are redefining the next generation of industrial applications spanning image recognition, speech processing, language translation, healthcare, and other sciences. For example, recent advances in deep representation learning are allowing us to learn about protein 3D structures, which sheds new light on fundamental medicine and biology along with potentially bringing in billions of dollars (e.g., in the pharmaceutical market). This collection gathers the advanced studies of novel deep learning algorithms/frameworks and their applications in real-world scenarios. The topics cover, but are not limited to, supervised learning, explainable deep learning, finance, healthcare, and sciences. 2023-11-30T20:36:45Z 2023-11-30T20:36:45Z 2023 book ONIX_20231130_9783036588308_70 9783036588308 9783036588315 https://directory.doabooks.org/handle/20.500.12854/128618 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/8070 https://mdpi.com/books/pdfview/book/8070 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-8831-5 10.3390/books978-3-0365-8831-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036588308 9783036588315 406 Basel open access |
| spellingShingle | 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 Deep Learning Architecture and Applications |
| title | Deep Learning Architecture and Applications |
| title_full | Deep Learning Architecture and Applications |
| title_fullStr | Deep Learning Architecture and Applications |
| title_full_unstemmed | Deep Learning Architecture and Applications |
| title_short | Deep Learning Architecture and Applications |
| title_sort | deep learning architecture and applications |
| topic | 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 |
| topic_facet | 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 |
| url | ONIX_20231130_9783036588308_70 |