Deep Learning with Convolutional Neural Networks: A Compact Holistic Tutorial with Focus on Supervised Regression
In this tutorial, we present a compact and holistic discussion of Deep Learning with a focus on Convolutional Neural Networks (CNNs) and supervised regression. While there are numerous books and articles on the individual topics we cover, comprehensive and detailed tutorials that address deep learni...
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| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Machine Learning and Knowledge Extraction |
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| Online Access: | https://www.mdpi.com/2504-4990/6/4/132 |
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| author | Yansel Gonzalez Tejeda Helmut A. Mayer |
| author_facet | Yansel Gonzalez Tejeda Helmut A. Mayer |
| author_sort | Yansel Gonzalez Tejeda |
| collection | DOAJ |
| description | In this tutorial, we present a compact and holistic discussion of Deep Learning with a focus on Convolutional Neural Networks (CNNs) and supervised regression. While there are numerous books and articles on the individual topics we cover, comprehensive and detailed tutorials that address deep learning from a foundational yet rigorous and accessible perspective are rare. Most resources on CNNs are either too advanced, focusing on cutting-edge architectures, or too narrow, addressing only specific applications like image classification. This tutorial not only summarizes the most relevant concepts but also provides an in-depth exploration of each, offering a complete yet agile set of ideas. Moreover, we highlight the powerful synergy between learning theory, statistics, and machine learning, which together underpin the deep learning and CNN frameworks. We aim for this tutorial to serve as an optimal resource for students, professors, and anyone interested in understanding the foundations of deep learning. |
| format | Article |
| id | doaj-art-83162bed759447f885759fc31c2c4d8a |
| institution | OA Journals |
| issn | 2504-4990 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machine Learning and Knowledge Extraction |
| spelling | doaj-art-83162bed759447f885759fc31c2c4d8a2025-08-20T02:00:43ZengMDPI AGMachine Learning and Knowledge Extraction2504-49902024-11-01642753278210.3390/make6040132Deep Learning with Convolutional Neural Networks: A Compact Holistic Tutorial with Focus on Supervised RegressionYansel Gonzalez Tejeda0Helmut A. Mayer1Department of Artificial Intelligence and Human Interfaces, Paris Lodron University of Salzburg, 5020 Salzburg, AustriaDepartment of Artificial Intelligence and Human Interfaces, Paris Lodron University of Salzburg, 5020 Salzburg, AustriaIn this tutorial, we present a compact and holistic discussion of Deep Learning with a focus on Convolutional Neural Networks (CNNs) and supervised regression. While there are numerous books and articles on the individual topics we cover, comprehensive and detailed tutorials that address deep learning from a foundational yet rigorous and accessible perspective are rare. Most resources on CNNs are either too advanced, focusing on cutting-edge architectures, or too narrow, addressing only specific applications like image classification. This tutorial not only summarizes the most relevant concepts but also provides an in-depth exploration of each, offering a complete yet agile set of ideas. Moreover, we highlight the powerful synergy between learning theory, statistics, and machine learning, which together underpin the deep learning and CNN frameworks. We aim for this tutorial to serve as an optimal resource for students, professors, and anyone interested in understanding the foundations of deep learning.https://www.mdpi.com/2504-4990/6/4/132deep learningconvolutional neural networkstutorial |
| spellingShingle | Yansel Gonzalez Tejeda Helmut A. Mayer Deep Learning with Convolutional Neural Networks: A Compact Holistic Tutorial with Focus on Supervised Regression Machine Learning and Knowledge Extraction deep learning convolutional neural networks tutorial |
| title | Deep Learning with Convolutional Neural Networks: A Compact Holistic Tutorial with Focus on Supervised Regression |
| title_full | Deep Learning with Convolutional Neural Networks: A Compact Holistic Tutorial with Focus on Supervised Regression |
| title_fullStr | Deep Learning with Convolutional Neural Networks: A Compact Holistic Tutorial with Focus on Supervised Regression |
| title_full_unstemmed | Deep Learning with Convolutional Neural Networks: A Compact Holistic Tutorial with Focus on Supervised Regression |
| title_short | Deep Learning with Convolutional Neural Networks: A Compact Holistic Tutorial with Focus on Supervised Regression |
| title_sort | deep learning with convolutional neural networks a compact holistic tutorial with focus on supervised regression |
| topic | deep learning convolutional neural networks tutorial |
| url | https://www.mdpi.com/2504-4990/6/4/132 |
| work_keys_str_mv | AT yanselgonzaleztejeda deeplearningwithconvolutionalneuralnetworksacompactholistictutorialwithfocusonsupervisedregression AT helmutamayer deeplearningwithconvolutionalneuralnetworksacompactholistictutorialwithfocusonsupervisedregression |