Preferred Label : Deep Learning;

EMFI synonym : Deep Neural Network Learning; deep structured learning; hierarchical learning;

MeSH synonym : Hierarchical Learning; Learning, Deep; Learning, Hierarchical;

Définition CISMeF : A specialized branch of ML that involves training neural networks with multiple intermediary (hidden) layers that operate between an input layer that receives data and an output layer that presents the final network output. Each layer learns to transform its input data into a slightly more abstract and composite representation and produces an output that serves as an input for the next layer. As data propagates through successive layers, these models are able to learn hierarchical feature representations from the input data. For example, in healthcare, deep learning models can be used to identify tumors or suspicious lesions in medical images to support physicians and radiologists in the evaluation of disease (source FDA).; Source: Adapted from: Esteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., Cui, C., Corrado, G., Thrun, S., & Dean, J. (2019). A guide to deep learning in healthcare. Nature Medicine, 25(1), 24–29. https://doi.org/10.1038/s41591-018-0316-zExternal Link Disclaimer International Organization for Standardization. (2020). Software and systems engineering — Software testing — Part 11: Guidelines on the testing of AI-based systems (ISO/IEC TR 29119-11:2020). https://www.iso.org/standard/79016.html;

MeSH definition : Supervised or unsupervised machine learning methods that use multiple layers of data representations generated by nonlinear transformations, instead of individual task-specific ALGORITHMS, to build and train neural network models.;

Wikipedia link : https://en.wikipedia.org/wiki/Deep learning;

NCIt definition : A subset of machine learning that is part of the broader family of machine learning methodologies based on artificial neural networks. A deep neural network has multiple layers between input and output layers to progressively extract higher level features from the raw input. (After DeepAI Machine Learning Glossary and Terms).;

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A specialized branch of ML that involves training neural networks with multiple intermediary (hidden) layers that operate between an input layer that receives data and an output layer that presents the final network output. Each layer learns to transform its input data into a slightly more abstract and composite representation and produces an output that serves as an input for the next layer. As data propagates through successive layers, these models are able to learn hierarchical feature representations from the input data. For example, in healthcare, deep learning models can be used to identify tumors or suspicious lesions in medical images to support physicians and radiologists in the evaluation of disease (source FDA).
Source: Adapted from: Esteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., Cui, C., Corrado, G., Thrun, S., & Dean, J. (2019). A guide to deep learning in healthcare. Nature Medicine, 25(1), 24–29. https://doi.org/10.1038/s41591-018-0316-zExternal Link Disclaimer International Organization for Standardization. (2020). Software and systems engineering — Software testing — Part 11: Guidelines on the testing of AI-based systems (ISO/IEC TR 29119-11:2020). https://www.iso.org/standard/79016.html
Supervised or unsupervised machine learning methods that use multiple layers of data representations generated by nonlinear transformations, instead of individual task-specific ALGORITHMS, to build and train neural network models.

https://youtu.be/7zpMVyAu84Q
https://sesstim.univ-amu.fr/video-box/webinar-sesstim-ohi-cecile-capponi
2018
false
false
false
false
false
France
audiovisual aids
Municipality
Communication
learning, nos
Communication
health communication
Learning
Communications; transports; civil engineering
Portal vein air
Deep Learning
Learning
Deep Learning
health communication

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https://youtu.be/in-n6fiWJW8
https://sesstim.univ-amu.fr/video-box/webinar-sesstim-ohi-cecile-capponi-0
2018
false
false
false
false
false
France
audiovisual aids
Communication
Municipality
Communication
Learning
Deep Learning
learning, nos
health communication
Communications; transports; civil engineering
Learning
Deep Learning
health communication

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03/06/2025


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