Various Deep Learning Algorithms in Computational Intelligence
This reprint highlights the importance of Deep Learning (DL), which has garnered significant attention in science, industry, and academia. It draws inspiration from the functioning of the human brain and the concept of learning. Unlike traditional and machine learning methods, deep learning techniqu...
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| Format: | Online |
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| Jezik: | engleski |
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Online pristup: | ONIX_20230808_9783036581385_62 |
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| collection | Directory of Open Access Books |
| description | This reprint highlights the importance of Deep Learning (DL), which has garnered significant attention in science, industry, and academia. It draws inspiration from the functioning of the human brain and the concept of learning. Unlike traditional and machine learning methods, deep learning techniques emulate the human brain's neural networks at a lower scale, allowing them to process and analyze substantial quantities of unstructured data. The remarkable proficiency of deep learning in unveiling intricate structures within extensive datasets genuinely resembles the extraordinary aptitude of the brain to recognize patterns and form complex connections. This unique characteristic allows DL to excel in modeling and solving complex problems across various scientific and technological fields. Just as the brain learns from experience, DL architectures learn through algorithms from data by adjusting numerous parameters during training to optimize their performance and accuracy. This concept of learning and adaptation is fundamental to DL's success. This reprint serves as an excellent opportunity to disseminate current knowledge beyond academic boundaries, reaching a diverse audience encompassing academics, professionals, and the general public. This wide readership fosters the potential for meaningful connections to established projects and the cultivation of collaboration for future research endeavors. |
| format | Online |
| id | doab-20.500.12854ir-112494 |
| 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-1124942024-03-30T12:51:25Z Various Deep Learning Algorithms in Computational Intelligence Ross, Oscar Humberto PSO sign language recognition optimization of convolutional neural networks breast segmentation mammogram deep learning semantic segmentation radar image prediction rain radar precipitation nowcasting UNet PredRNN_v2 cubical complex cubical homology image classification persistent homology labor exports Northeast Asian Countries backpropagation neural network (BPNN) k-Nearest Neighbor (kNN) random forest regression (RFR) decision making emotion distribution learning text-based emotion analysis affective words multi-task CNN ghettos GIS networks Washington D.C. machine learning segregation hybrid deep learning time series LSTM Stacked LSTM CNN-LSTMs BDLSTM CNN GRU modeling SARS-CoV-2 generative adversarial network image generation image synthesis GAN generative model Inception score scoreGAN waste classification angle detection box dynamic smoothing YOLOv5 computer vision object detection traffic sign detection you only look once (YOLO) attention mechanism feature fusion barrier options Black–Scholes model polynomial regression random forest regression artificial neural network option Greeks data analysis ski goggles lenses surface defect automatic optical inspection Faster-RCNN fine-tune MobileNetV3 FPN RPN DNS firewall malicious domain name n/a 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 This reprint highlights the importance of Deep Learning (DL), which has garnered significant attention in science, industry, and academia. It draws inspiration from the functioning of the human brain and the concept of learning. Unlike traditional and machine learning methods, deep learning techniques emulate the human brain's neural networks at a lower scale, allowing them to process and analyze substantial quantities of unstructured data. The remarkable proficiency of deep learning in unveiling intricate structures within extensive datasets genuinely resembles the extraordinary aptitude of the brain to recognize patterns and form complex connections. This unique characteristic allows DL to excel in modeling and solving complex problems across various scientific and technological fields. Just as the brain learns from experience, DL architectures learn through algorithms from data by adjusting numerous parameters during training to optimize their performance and accuracy. This concept of learning and adaptation is fundamental to DL's success. This reprint serves as an excellent opportunity to disseminate current knowledge beyond academic boundaries, reaching a diverse audience encompassing academics, professionals, and the general public. This wide readership fosters the potential for meaningful connections to established projects and the cultivation of collaboration for future research endeavors. 2023-08-08T15:15:33Z 2023-08-08T15:15:33Z 2023 book ONIX_20230808_9783036581385_62 9783036581385 9783036581392 https://directory.doabooks.org/handle/20.500.12854/112494 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7610 https://mdpi.com/books/pdfview/book/7610 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-8139-2 10.3390/books978-3-0365-8139-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036581385 9783036581392 282 Basel open access |
| spellingShingle | PSO sign language recognition optimization of convolutional neural networks breast segmentation mammogram deep learning semantic segmentation radar image prediction rain radar precipitation nowcasting UNet PredRNN_v2 cubical complex cubical homology image classification persistent homology labor exports Northeast Asian Countries backpropagation neural network (BPNN) k-Nearest Neighbor (kNN) random forest regression (RFR) decision making emotion distribution learning text-based emotion analysis affective words multi-task CNN ghettos GIS networks Washington D.C. machine learning segregation hybrid deep learning time series LSTM Stacked LSTM CNN-LSTMs BDLSTM CNN GRU modeling SARS-CoV-2 generative adversarial network image generation image synthesis GAN generative model Inception score scoreGAN waste classification angle detection box dynamic smoothing YOLOv5 computer vision object detection traffic sign detection you only look once (YOLO) attention mechanism feature fusion barrier options Black–Scholes model polynomial regression random forest regression artificial neural network option Greeks data analysis ski goggles lenses surface defect automatic optical inspection Faster-RCNN fine-tune MobileNetV3 FPN RPN DNS firewall malicious domain name n/a 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 Various Deep Learning Algorithms in Computational Intelligence |
| title | Various Deep Learning Algorithms in Computational Intelligence |
| title_full | Various Deep Learning Algorithms in Computational Intelligence |
| title_fullStr | Various Deep Learning Algorithms in Computational Intelligence |
| title_full_unstemmed | Various Deep Learning Algorithms in Computational Intelligence |
| title_short | Various Deep Learning Algorithms in Computational Intelligence |
| title_sort | various deep learning algorithms in computational intelligence |
| topic | PSO sign language recognition optimization of convolutional neural networks breast segmentation mammogram deep learning semantic segmentation radar image prediction rain radar precipitation nowcasting UNet PredRNN_v2 cubical complex cubical homology image classification persistent homology labor exports Northeast Asian Countries backpropagation neural network (BPNN) k-Nearest Neighbor (kNN) random forest regression (RFR) decision making emotion distribution learning text-based emotion analysis affective words multi-task CNN ghettos GIS networks Washington D.C. machine learning segregation hybrid deep learning time series LSTM Stacked LSTM CNN-LSTMs BDLSTM CNN GRU modeling SARS-CoV-2 generative adversarial network image generation image synthesis GAN generative model Inception score scoreGAN waste classification angle detection box dynamic smoothing YOLOv5 computer vision object detection traffic sign detection you only look once (YOLO) attention mechanism feature fusion barrier options Black–Scholes model polynomial regression random forest regression artificial neural network option Greeks data analysis ski goggles lenses surface defect automatic optical inspection Faster-RCNN fine-tune MobileNetV3 FPN RPN DNS firewall malicious domain name n/a 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 | PSO sign language recognition optimization of convolutional neural networks breast segmentation mammogram deep learning semantic segmentation radar image prediction rain radar precipitation nowcasting UNet PredRNN_v2 cubical complex cubical homology image classification persistent homology labor exports Northeast Asian Countries backpropagation neural network (BPNN) k-Nearest Neighbor (kNN) random forest regression (RFR) decision making emotion distribution learning text-based emotion analysis affective words multi-task CNN ghettos GIS networks Washington D.C. machine learning segregation hybrid deep learning time series LSTM Stacked LSTM CNN-LSTMs BDLSTM CNN GRU modeling SARS-CoV-2 generative adversarial network image generation image synthesis GAN generative model Inception score scoreGAN waste classification angle detection box dynamic smoothing YOLOv5 computer vision object detection traffic sign detection you only look once (YOLO) attention mechanism feature fusion barrier options Black–Scholes model polynomial regression random forest regression artificial neural network option Greeks data analysis ski goggles lenses surface defect automatic optical inspection Faster-RCNN fine-tune MobileNetV3 FPN RPN DNS firewall malicious domain name n/a 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_20230808_9783036581385_62 |